{"id":"W6942262950","doi":"10.1371/journal.pone.0294734.s003","title":"Administrative datasets to be used in the study.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receipt; Odds; Mental health; Socioeconomic status; Odds ratio; Poison control; Logistic regression; Occupational safety and health; Injury 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":[0.004974671,0.00117416,0.001932815,0.003658976,0.001241894,0.002908023,0.00348724,0.00254498,0.2892772],"category_scores_gemma":[0.03763935,0.000945497,0.001225101,0.01051289,0.0003086528,0.00172828,0.00253777,0.003350658,0.1309796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00300755,"about_ca_system_score_gemma":0.01382803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04004592,"about_ca_topic_score_gemma":0.03801487,"domain_scores_codex":[0.9958598,0.0009875384,0.0009349184,0.000766125,0.0009150548,0.0005366338],"domain_scores_gemma":[0.9849163,0.003246175,0.001563838,0.003168329,0.00582711,0.001278333],"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":[0.0002120605,0.00005459883,0.002213839,0.0008190259,0.00006263555,0.00004147347,0.00005052331,0.0002210336,0.00004747788,0.002326432,0.9837009,0.01024991],"study_design_scores_gemma":[0.0007449342,0.00006011537,0.01077548,0.001847651,0.00009288537,0.0001135915,0.0003238303,0.0007493529,0.0001463292,0.0071583,0.9779359,0.00005150637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001295764,0.00005746102,0.0003452391,0.0002938341,0.0001290549,0.0003907353,0.9955322,0.0001298971,0.002992017],"genre_scores_gemma":[0.002696584,0.0003477,0.003135505,0.0009993541,0.0001030853,0.005913925,0.9795171,0.0002579852,0.007028656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2892772,"threshold_uncertainty_score":0.9677286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2771824416871024,"score_gpt":0.4668560923023736,"score_spread":0.1896736506152712,"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."}}