{"id":"W7110789986","doi":"10.1371/journal.pmen.0000503.t001","title":"Participant demographics.","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Logistic regression; Socioeconomic status; Mental health; Sample (material); Data collection; Social support; Service (business)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00172206,0.0006288508,0.0008114912,0.00134906,0.002749575,0.001647576,0.001277805,0.0007869783,0.3290881],"category_scores_gemma":[0.007841701,0.0003003055,0.0002833118,0.00241655,0.0002399201,0.0007982053,0.001457472,0.0007790746,0.08758144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002795847,"about_ca_system_score_gemma":0.008596537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1428556,"about_ca_topic_score_gemma":0.231448,"domain_scores_codex":[0.9986814,0.0002209762,0.0001462485,0.0002029601,0.0004076718,0.0003409085],"domain_scores_gemma":[0.9975448,0.0003869286,0.0002097115,0.0002018565,0.001249522,0.0004070174],"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":[0.0007312999,0.0003757282,0.02354017,0.001435251,0.00001672968,0.000508055,0.007782564,0.00003890597,0.0005267249,0.001605464,0.8230146,0.1404245],"study_design_scores_gemma":[0.00008706199,0.0001444241,0.05926679,0.0008254612,0.00001934437,0.000383799,0.007959267,0.00006340911,0.0001221734,0.0006748923,0.9304224,0.00003106382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.05403689,0.002866889,0.001756869,0.006134884,0.001297755,0.01227104,0.4332279,0.0007053189,0.4877025],"genre_scores_gemma":[0.1603615,0.006571444,0.006861528,0.009614006,0.0005382905,0.04832546,0.18078,0.000402123,0.5865458],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6709119,"threshold_uncertainty_score":0.9569744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263120828784261,"score_gpt":0.3394427003800317,"score_spread":0.2131306175016056,"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."}}