{"meta":{"query_hash":"309a6e6cf117","filters":{"venue":"American Journal of Computing and Engineering"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/309a6e6cf117","api":"https://metacan.xera.ac/api/v1/cohort?venue=American+Journal+of+Computing+and+Engineering"},"results":[{"id":"W4406974452","doi":"10.47672/ajce.2613","title":"Optimising Product Enhancements Strategic Approaches to Managing Complexity","year":2021,"lang":"en","type":"article","venue":"American Journal of Computing and Engineering","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Process management; Business; Product (mathematics); Complexity management; Computer science; Marketing; Mathematics","score_opus":0.05453616738225247,"score_gpt":0.23850912825518336,"score_spread":0.18397296087293089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406974452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7355584,0.00037281524,0.26282403,0.00026679775,0.00026640802,0.000036303725,2.7419577e-7,0.00011734699,0.00055762316],"genre_scores_gemma":[0.89088625,0.000052627667,0.10891275,0.00002324664,0.00009753677,6.307654e-7,8.04073e-7,0.000018801113,0.000007353711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992014,0.000012705327,0.00026938747,0.00013015131,0.00013539074,0.00025093107],"domain_scores_gemma":[0.99965954,0.00002509352,0.00006950392,0.00011999212,0.000035206926,0.00009064183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023220512,0.00013946224,0.00026911596,0.00019834015,0.000048500344,0.00006756829,0.00012535836,0.000014523632,0.0000026044474],"category_scores_gemma":[0.000010634123,0.00014838616,0.000038909788,0.00036960002,0.000033564193,0.00008216837,0.0000790252,0.000220332,9.639709e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004732277,0.000024639137,0.00032861988,0.00012287594,0.00022482731,0.000065922606,0.00052970735,0.8808273,0.005324237,0.003489577,0.000056112174,0.10900143],"study_design_scores_gemma":[0.0008710465,0.00045653785,0.011710148,0.0008739597,0.00015260896,0.0005918141,0.005680859,0.9590464,0.016526537,0.0010372809,0.002013923,0.0010388705],"about_ca_topic_score_codex":0.0000019139134,"about_ca_topic_score_gemma":5.268487e-7,"teacher_disagreement_score":0.15532786,"about_ca_system_score_codex":0.000045991204,"about_ca_system_score_gemma":0.000011724679,"threshold_uncertainty_score":0.60510117},"labels":[],"label_agreement":null},{"id":"W4406979956","doi":"10.47672/ajce.2612","title":"Leveraging Big Data Analytics and Machine Learning Techniques for Sentiment Analysis of Amazon Product Reviews in Business Insights","year":2021,"lang":"en","type":"article","venue":"American Journal of Computing and Engineering","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Amazon rainforest; Big data; Data science; Sentiment analysis; Computer science; Analytics; Business intelligence; Business analytics; Data analysis; Product (mathematics); Artificial intelligence; Data mining; Business model; Business; Business analysis; Marketing","score_opus":0.07857013264493604,"score_gpt":0.2861958507867778,"score_spread":0.20762571814184175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406979956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75244045,0.0047776178,0.2422278,0.000250171,0.00017751378,0.00008697665,0.0000024511976,0.000019588328,0.00001743547],"genre_scores_gemma":[0.9883144,0.0011804672,0.010044646,0.000053140215,0.00035637154,5.405353e-7,0.00003296011,0.000013038129,0.000004435581],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989279,0.00001482188,0.0005550261,0.0002198651,0.00013089899,0.00015146754],"domain_scores_gemma":[0.9988668,0.00009265629,0.00054432725,0.00020070061,0.00028061002,0.000014903148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076688774,0.00013965997,0.0006071181,0.00068611884,0.000051625666,0.00010441359,0.00018702296,0.000016211152,0.0000015800688],"category_scores_gemma":[0.00043200058,0.00012193762,0.000050748713,0.002018821,0.00004202136,0.0003325493,0.00025162162,0.00015556216,9.1876444e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042079257,0.00010682893,0.10236106,0.0013419343,0.00061442197,0.000033485027,0.00040500046,0.053209785,0.007008766,0.00016798006,0.00006716824,0.8346415],"study_design_scores_gemma":[0.00030188213,0.00003319698,0.06997276,0.001556405,0.0011178256,0.000046526424,0.0003845081,0.8824022,0.0013412607,0.000027482245,0.04242104,0.00039495123],"about_ca_topic_score_codex":0.00014636156,"about_ca_topic_score_gemma":0.000018737752,"teacher_disagreement_score":0.8342465,"about_ca_system_score_codex":0.000012763456,"about_ca_system_score_gemma":0.000018702625,"threshold_uncertainty_score":0.4972472},"labels":[],"label_agreement":null}]}