{"id":"W2053100474","doi":"10.1186/1472-6874-4-s1-s1","title":"Women's Health Surveillance Report: Introduction","year":2004,"lang":"en","type":"article","venue":"BMC Women s Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; University Health Network; University of British Columbia; Coalition for Research in Women's Health; Health Canada","funders":"","keywords":"Medicine; Public health; Health policy; Environmental health; Health informatics; Psychological intervention; Reproductive medicine; Nursing; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004461822,0.001127288,0.0006734402,0.009597162,0.002402168,0.002322547,0.002628107,0.0008762656,0.01404978],"category_scores_gemma":[0.007371316,0.0005569304,0.001040574,0.01654445,0.0005085505,0.0007346026,0.001521141,0.001064347,0.005796217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03606573,"about_ca_system_score_gemma":0.09617179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9804585,"about_ca_topic_score_gemma":0.9798719,"domain_scores_codex":[0.9943998,0.0003383947,0.0004272613,0.0003469745,0.003464481,0.001023041],"domain_scores_gemma":[0.9906031,0.0002476506,0.0003396483,0.0002284752,0.008000522,0.0005806629],"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":[0.00007970763,0.00005446765,0.04174296,0.001609299,0.00006213844,0.0001219848,0.0009961388,0.0006287699,0.0004804987,0.00447451,0.8754306,0.07431902],"study_design_scores_gemma":[0.00002120552,0.00002457595,0.1844867,0.0006144667,0.00003733128,0.00007877514,0.0006945004,0.000208543,0.0003827731,0.0003117288,0.8130901,0.00004930577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"editorial","genre_scores_codex":[0.006311389,0.004623812,0.001476038,0.003911393,0.000644248,0.002361423,0.9137626,0.000538534,0.06637067],"genre_scores_gemma":[0.03863575,0.01299171,0.01259478,0.002593684,0.0004385201,0.002884821,0.8516896,0.0002480841,0.07792307],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9804585,"threshold_uncertainty_score":0.2616764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103620590406344,"score_gpt":0.3026939354188815,"score_spread":0.2716577295148181,"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."}}