{"id":"W6945309059","doi":"10.25318/1310043901-eng","title":"Self-rated health as \"very good\" or \"excellent\" in 1994/95 and rating in 1996/97","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Population health; Public health; MEDLINE; Rating scale","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":[],"consensus_categories":[],"category_scores_codex":[0.001413226,0.001332776,0.001556564,0.003777238,0.00121495,0.001834178,0.003231758,0.001073128,0.02585275],"category_scores_gemma":[0.008091774,0.0007801656,0.001202406,0.01141591,0.000409736,0.0009597789,0.001210641,0.002044805,0.01297364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040867,"about_ca_system_score_gemma":0.01430848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.888551,"about_ca_topic_score_gemma":0.9025212,"domain_scores_codex":[0.9984603,0.0001078739,0.0002629659,0.0002338399,0.0005773143,0.000357805],"domain_scores_gemma":[0.9936957,0.0004504409,0.0007254328,0.0004136566,0.004198631,0.0005161954],"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":[0.0001308179,0.00002101259,0.007869957,0.0005303166,0.00007629297,0.00001922124,0.00003806035,0.0002288382,0.00002693614,0.0003857797,0.9888405,0.00183226],"study_design_scores_gemma":[0.0007358977,0.00003733997,0.2654215,0.001178102,0.0002304071,0.00009223674,0.0005058685,0.0007031581,0.0004253521,0.0006711847,0.7299006,0.00009839923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00031668,0.00003931471,0.00001629503,0.00004191991,0.0000137807,0.00001660008,0.9989424,0.00002537174,0.0005875781],"genre_scores_gemma":[0.001852522,0.0001004266,0.0001317723,0.00005468261,0.000007573637,0.0001320807,0.9959001,0.00001678081,0.001804061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.111449,"threshold_uncertainty_score":0.2242107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471145360345657,"score_gpt":0.2776717594942706,"score_spread":0.2629603058908141,"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."}}