{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003477852,0.0002716209,0.0005442477,0.0003762234,0.0004582646,0.0002945933,0.0003978924,0.0003731149,0.004806335],"category_scores_gemma":[0.00936674,0.0002514553,0.0001740565,0.0005271961,0.00006487226,0.0001125596,0.0002514938,0.0006178552,0.00004019274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604648,"about_ca_system_score_gemma":0.0001606151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110553,"about_ca_topic_score_gemma":0.01466894,"domain_scores_codex":[0.9975239,0.0007564122,0.0004368993,0.000578327,0.0003801943,0.0003242843],"domain_scores_gemma":[0.9973037,0.001332302,0.0006675429,0.0003960164,0.0001459794,0.0001544546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005943241,0.00005644391,0.01409192,0.0003780679,0.0001506026,0.000004244541,0.0008909159,7.568198e-8,0.000001135382,0.000002229256,0.9674291,0.01698929],"study_design_scores_gemma":[0.0003069734,0.00008315813,0.08552011,0.00830404,0.0003633313,7.561605e-7,0.005594141,0.0002149746,0.00002256985,0.0001027175,0.8989395,0.0005477596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002045916,0.002711472,0.0000455713,0.0004437393,0.001097175,0.0003770549,0.9931653,0.0001103337,0.000003505723],"genre_scores_gemma":[0.01900445,0.0005821908,0.0003127111,0.00006588863,0.0004141316,0.0001195055,0.9794806,0.00001175498,0.000008731099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07142819,"threshold_uncertainty_score":0.9999937,"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."}}