{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"3739264c4703","filters":{"venue":"Journal of Advances in Information Technology"}},"results":[{"id":"W3217243213","doi":"10.12720/jait.12.4.357-362","title":"Suicide Ideation Estimators within Canadian Provinces Using Machine Learning Tools on Social Media Text","year":2021,"lang":"en","type":"article","venue":"Journal of Advances in Information Technology","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Suicidal ideation; Estimator; Social media; Ideation; Computer science; Artificial intelligence; Psychology; Natural language processing; Statistics; World Wide Web; Suicide prevention; Medicine; Medical emergency; Mathematics; Poison control; Cognitive science","authors":[{"name":"Ruba Skaik","is_ca":false},{"name":"Diana Inkpen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02802306844632892,"gpt":0.3269865441089095,"spread":0.2989634756625806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002874151,0.0004793182,0.0005431113,0.003188139,0.002323558,0.002150769,0.00170675,0.0006024434,0.002164967],"category_scores_gemma":[0.02205626,0.0003661161,0.0009453853,0.006357381,0.0006668119,0.0008382713,0.0009442209,0.0009653185,0.0004315826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02292645,"about_ca_system_score_gemma":0.03668537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965723,"about_ca_topic_score_gemma":0.9956279,"domain_scores_codex":[0.9980952,0.0004350184,0.0001318333,0.0003069574,0.00054551,0.0004854703],"domain_scores_gemma":[0.9830178,0.004212263,0.001215882,0.0005635542,0.01006509,0.0009253321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003369316,0.00009399801,0.9639778,0.00006558965,0.0001783316,0.00007357359,0.0009989317,0.004803403,0.0002624547,0.0008430115,0.005512701,0.02285326],"study_design_scores_gemma":[0.0000345763,0.00003234369,0.9639519,0.00006170385,0.00009701011,0.00005541266,0.003027681,0.02899984,0.0004405452,0.0002698956,0.002972513,0.0000565239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854778,0.0005736113,0.00196753,0.0005629865,0.00004634832,0.00006082641,0.009423967,0.00008406165,0.00180279],"genre_scores_gemma":[0.9910418,0.0002262383,0.001532241,0.00004886424,0.00001443192,0.00002761235,0.00567136,0.0000229737,0.001414508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292645,"threshold_uncertainty_score":0.1663438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410280138","doi":"10.12720/jait.16.5.632-647","title":"Optimized Self-Attention Pyramidal Convolutional Neural Network for Intrusion Detection Framework in IoT","year":2025,"lang":"en","type":"article","venue":"Journal of Advances in Information Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Intrusion detection system; Intrusion; Artificial neural network; Pattern recognition (psychology); Machine learning; Geology","authors":[{"name":"Padma Yenuga","is_ca":false},{"name":"Gautham Reddy","is_ca":false},{"name":"Venugopal Boppana","is_ca":false},{"name":"Sunitha Davuluri","is_ca":false},{"name":"Repudi Ramesh","is_ca":false},{"name":"Meda Srikanth","is_ca":false},{"name":"Babar Rao","is_ca":false},{"name":"Ravi Kumar Munaganuri","is_ca":false},{"name":"Narasimha Rao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003445852592956987,"gpt":0.2453783458480628,"spread":0.2419324932551058,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003902437,0.0006174627,0.0005455634,0.0004667931,0.0002073757,0.0004857856,0.001014431,0.0006363704,0.0009262321],"category_scores_gemma":[0.000706684,0.0002737995,0.0004975136,0.0004812775,0.0003357834,0.0008012849,0.0005321824,0.0006854394,0.0002374731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000940351,"about_ca_system_score_gemma":0.001102658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559614,"about_ca_topic_score_gemma":0.01631982,"domain_scores_codex":[0.9998363,0.00002140975,0.000008435969,0.00005198551,0.00004056265,0.00004131481],"domain_scores_gemma":[0.9998587,0.00004390368,0.00001751839,0.00001502415,0.00005424112,0.00001058154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001108775,0.0000613407,0.001603162,0.00004572979,0.00006935635,0.00007752342,0.00002623443,0.8885784,0.004766715,0.003717448,0.001803879,0.09913941],"study_design_scores_gemma":[0.000001310948,0.000007597929,0.00009381451,0.000001243453,0.000004157643,0.000005832721,0.000001385792,0.9987743,0.0004203424,0.0005995486,0.00008905547,0.00000137859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187576,0.001191069,0.8729852,0.0004832101,0.0001022854,0.00005777898,0.0003736076,0.002316091,0.0037331],"genre_scores_gemma":[0.8888091,0.0004784385,0.1051704,0.0002093468,0.00004240539,0.00008113345,0.0006233252,0.00008169411,0.004504215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01559614,"threshold_uncertainty_score":0.03101075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}