{"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,"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","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"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"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802306844632892,"score_gpt":0.3269865441089095,"score_spread":0.2989634756625806,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}