{"id":"W6885988129","doi":"10.1371/journal.pone.0301117.s003","title":"Reliability diagram before and after calibration.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Population; Random forest; Multilayer perceptron; Poison control; Odds; Sample (material); Reliability (semiconductor); Suicide prevention","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":[0.03185097,0.002590989,0.001671163,0.0061338,0.00154398,0.003618533,0.002515819,0.002628915,0.05828943],"category_scores_gemma":[0.1580258,0.001073121,0.003136538,0.004741722,0.00211802,0.00321043,0.002103329,0.004065642,0.02184123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024579,"about_ca_system_score_gemma":0.005831678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04977382,"about_ca_topic_score_gemma":0.02212537,"domain_scores_codex":[0.9780409,0.009171232,0.001617623,0.005418662,0.004660437,0.001091179],"domain_scores_gemma":[0.8469315,0.07628038,0.005524975,0.01553855,0.05472196,0.0010027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001697685,0.0003943162,0.07610294,0.002304148,0.0008922555,0.0006611147,0.00281579,0.06339545,0.003485027,0.0635309,0.257466,0.5272543],"study_design_scores_gemma":[0.0005528024,0.001416032,0.1722569,0.003355938,0.001000882,0.001752386,0.005588706,0.2694983,0.01203161,0.08120762,0.4506547,0.00068419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06291667,0.00557726,0.7221557,0.004903018,0.006331975,0.003571808,0.04749297,0.0220591,0.1249915],"genre_scores_gemma":[0.536461,0.001423429,0.3814781,0.001357536,0.0005279789,0.003536979,0.03516904,0.00633843,0.03370748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05828943,"threshold_uncertainty_score":0.1949976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540669981403991,"score_gpt":0.3540810673142424,"score_spread":0.3186743675002024,"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."}}