{"id":"W4253870830","doi":"10.1037/e506732013-001","title":"Canadian Public Health Association 2008 Annual Conference: Public Health in Canada: Reducing Health Inequalities Through Evidence and Action, June 1-4, Halifax, Nova Scotia","year":2008,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Public health; Association (psychology); Nova (rocket); Action (physics); Political science; Inequality; Environmental health; Geography; Medicine; Psychology; Engineering; Archaeology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01147205,0.0009609722,0.002179109,0.001357644,0.003437951,0.0002393439,0.001181531,0.0009159881,0.001609048],"category_scores_gemma":[0.004324712,0.001046753,0.00007273773,0.001934439,0.0001623118,0.002306515,0.0003080826,0.004106578,0.0002622902],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.05162112,"about_ca_system_score_gemma":0.3692647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999363,"about_ca_topic_score_gemma":0.9999687,"domain_scores_codex":[0.9807198,0.006238487,0.004162632,0.001622835,0.001483567,0.00577265],"domain_scores_gemma":[0.9869905,0.001561586,0.004320672,0.001902155,0.0009076025,0.004317545],"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":[0.00001106045,0.0001388707,0.004334199,0.002812812,0.00006223071,0.00000603545,0.008401978,0.000001471455,2.1701e-8,0.0001078951,0.982559,0.001564481],"study_design_scores_gemma":[0.0006680026,0.0001431561,0.0149598,0.001540463,0.000009327915,0.0000368365,0.01640277,0.00001416013,1.759406e-8,0.00003573506,0.9655062,0.0006835561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003177999,0.003380558,0.00001572679,0.3988398,0.004862915,0.001711105,0.5908179,0.00003978059,0.00001442602],"genre_scores_gemma":[0.0006425348,0.04246327,0.0001701179,0.1017046,0.001441444,0.0002099794,0.8529838,0.00007053238,0.0003137139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3176436,"threshold_uncertainty_score":0.9993036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.297442607289306,"score_gpt":0.4778835045676848,"score_spread":0.1804408972783788,"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."}}