{"id":"W3135885876","doi":"10.21203/rs.3.rs-227840/v1","title":"Predicting suicidal thoughts and behaviors among college students: a machine learning approach","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Conseil Régional Aquitaine; Institut National Du Cancer; National Cancer Institute; Université de Bordeaux; Agence Nationale de la Recherche","keywords":"Predictive power; Psychology; Mental health; Depression (economics); Clinical psychology; Anxiety; Cohort; Population; Psychiatry; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00321874,0.0007504838,0.0007611263,0.002727675,0.0004342466,0.001003271,0.0006864876,0.0008097478,0.001322607],"category_scores_gemma":[0.006674029,0.0003361098,0.001071232,0.001223713,0.0002361025,0.0004789481,0.0005878541,0.001229972,0.0003002237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005595096,"about_ca_system_score_gemma":0.0009473021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008011925,"about_ca_topic_score_gemma":0.005847374,"domain_scores_codex":[0.9993122,0.0004061818,0.00005095154,0.0001115445,0.0000492934,0.00006978318],"domain_scores_gemma":[0.9964888,0.002749999,0.0002076251,0.0001339345,0.0002930645,0.0001265491],"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":[0.0007529039,0.001817159,0.5170048,0.0001296396,0.0007929591,0.0001930474,0.0001696746,0.2635263,0.001086857,0.0007841372,0.003877715,0.2098648],"study_design_scores_gemma":[0.00003731509,0.0001465631,0.02238828,0.00003121422,0.00005279543,0.00004053783,0.00005372598,0.9753957,0.0002256525,0.001458611,0.0001567806,0.00001283123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9079292,0.0007655455,0.08677136,0.001127264,0.00005736945,0.0002227525,0.00114834,0.0007046459,0.001273449],"genre_scores_gemma":[0.9658394,0.0001501199,0.03238954,0.00008835956,0.00004681102,0.0001085359,0.0009322903,0.00001343278,0.0004314134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008011925,"threshold_uncertainty_score":0.01702255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841523263557978,"score_gpt":0.4258998395498979,"score_spread":0.347484606914318,"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."}}