{"id":"W4391846206","doi":"10.1101/2024.02.14.24302828","title":"Creating an 11-year longitudinal substance use harm cohort from linked health and census data to analyze social drivers of health","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority","funders":"Saskatchewan Health Research Foundation","keywords":"Harm; Census; Health care; Public relations; Psychology; Medicine; Political science; Environmental health; Population; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008376781,0.0005432724,0.0005682476,0.004241891,0.003723221,0.002887978,0.002245296,0.0008500111,0.005675134],"category_scores_gemma":[0.01496702,0.0009693963,0.001352452,0.006187103,0.0005787911,0.00100753,0.004909781,0.001973812,0.002364862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01216406,"about_ca_system_score_gemma":0.0385146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.844714,"about_ca_topic_score_gemma":0.8970367,"domain_scores_codex":[0.9965494,0.0008763551,0.0003091763,0.0005660389,0.0009591167,0.0007397716],"domain_scores_gemma":[0.9857098,0.001481805,0.0009628923,0.003293019,0.006916839,0.001635671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002321486,0.0003182469,0.8944854,0.0002560357,0.0003793158,0.0007531308,0.00429437,0.00209346,0.001271187,0.003087678,0.06388679,0.0289423],"study_design_scores_gemma":[0.0002559928,0.000165387,0.9012405,0.0007634462,0.0002418044,0.0002698776,0.009487692,0.005191984,0.001452063,0.001631094,0.07908405,0.0002161114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6568567,0.0004281944,0.03219203,0.003552037,0.0006017433,0.008752406,0.2859506,0.0005294905,0.01113683],"genre_scores_gemma":[0.5868666,0.0009807486,0.120832,0.003314626,0.0001522791,0.01391301,0.2647877,0.000502319,0.008650764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.844714,"threshold_uncertainty_score":0.312401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184826541133966,"score_gpt":0.4213893065414238,"score_spread":0.2365627654074578,"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."}}