{"id":"W6923285430","doi":"10.1371/journal.pone.0260620.t002","title":"Logistic mixed effects multiple regression analysis predicting current quarter suicidal ideation from intern mental health, demographics, and internship characteristics.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internship; Logistic regression; Suicidal ideation; Quarter (Canadian coin); Regression analysis; Mental health; Suicide ideation","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":[0.003849201,0.001857626,0.00140906,0.001829182,0.0009462778,0.001776988,0.004334751,0.002208748,0.1168675],"category_scores_gemma":[0.02553672,0.001082167,0.003124502,0.002349157,0.0003216376,0.001509094,0.002410955,0.003036461,0.04629986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416537,"about_ca_system_score_gemma":0.002705683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0520114,"about_ca_topic_score_gemma":0.1317213,"domain_scores_codex":[0.9987521,0.0003892361,0.0001760527,0.0003130921,0.000195256,0.0001742168],"domain_scores_gemma":[0.9912235,0.004354161,0.0008301706,0.0012373,0.001868011,0.0004868997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001923795,0.00006539929,0.007430587,0.000653832,0.0002147838,0.00002469701,0.00003491304,0.0003269092,0.00003932831,0.0003086401,0.9874521,0.003256423],"study_design_scores_gemma":[0.007571081,0.0002975223,0.1304642,0.003703312,0.002728946,0.0004199712,0.0008068828,0.008131065,0.0006525307,0.006710961,0.8382166,0.000296858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006993946,0.0000663806,0.0002225949,0.000259025,0.00004917623,0.00005110935,0.9977949,0.000225802,0.0006316876],"genre_scores_gemma":[0.004684885,0.00008448453,0.002093749,0.0002530595,0.00003881216,0.001232263,0.9884226,0.0002500593,0.002940123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1168675,"threshold_uncertainty_score":0.3909609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0893594968373218,"score_gpt":0.4093025524943002,"score_spread":0.3199430556569784,"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."}}