{"id":"W4394217378","doi":"10.6084/m9.figshare.14721944","title":"Additional file 1 of Who or what is to blame? Examining sociodemographic relationships to beliefs about causes, control, and responsibility for cancer and chronic disease prevention in Alberta, Canada","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blame; Control (management); Disease; Disease control; Psychology; Medicine; Environmental health; Gerontology; Social psychology; Computer science; Pathology; Artificial intelligence","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":[],"category_scores_codex":[0.0017681,0.001034996,0.001317532,0.002689836,0.002093775,0.002138454,0.002828399,0.001213981,0.4122569],"category_scores_gemma":[0.01760226,0.0007654736,0.001197288,0.006749288,0.0004260289,0.001006254,0.001337381,0.001350305,0.04765479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009358794,"about_ca_system_score_gemma":0.02129732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8627371,"about_ca_topic_score_gemma":0.9086379,"domain_scores_codex":[0.9990358,0.0001163342,0.0001040911,0.0002026404,0.0002961479,0.0002449474],"domain_scores_gemma":[0.9887306,0.00378439,0.0006793563,0.001046696,0.005014117,0.0007447463],"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":[0.00005120282,0.00002371717,0.004017936,0.0004776359,0.00002564768,0.00001481555,0.0000556024,0.0001959903,0.00001478968,0.0004187863,0.9924337,0.002270095],"study_design_scores_gemma":[0.001714444,0.00005918627,0.1293098,0.002851232,0.0001959723,0.0001355723,0.0009917167,0.001232274,0.0002481339,0.002214719,0.8609336,0.0001133222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001361669,0.0000159508,0.00003152731,0.00004978125,0.000009177788,0.00002670006,0.9991869,0.00002738649,0.0005163082],"genre_scores_gemma":[0.003546921,0.0001143976,0.0006910312,0.0001459223,0.00002386172,0.0005506597,0.9888862,0.000101009,0.005940034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4122569,"threshold_uncertainty_score":0.8383442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068794289138322,"score_gpt":0.4221635914164975,"score_spread":0.3152841625026653,"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."}}