{"id":"W1841925236","doi":"10.25336/p6vc8k","title":"After the First Steps: The Evolution of the National Population Health Survey","year":2001,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"National Health Insurance Service","keywords":"Population health; Context (archaeology); Longitudinal data; Health care; Sample (material); Panel data; Population; Demographic economics; Environmental health; Medicine; Geography; Economics; Econometrics; Economic growth; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002424346,0.00006778634,0.0001215907,0.00007237011,0.001419802,0.00002103378,0.0001805779,0.00005061307,0.00002047824],"category_scores_gemma":[0.001045745,0.00003897246,0.00004014931,0.0006138073,0.0001829184,0.0001139509,0.00002217226,0.0001035653,0.000002307699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955363,"about_ca_system_score_gemma":0.0004727533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9556637,"about_ca_topic_score_gemma":0.9989038,"domain_scores_codex":[0.9983525,0.0005243676,0.0003180113,0.0001106259,0.0003815457,0.0003130023],"domain_scores_gemma":[0.9991785,0.0003345485,0.0001440046,0.0001255696,0.000153716,0.00006371009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005746359,0.000003274303,0.9777105,0.00001162666,0.00000604455,9.941551e-8,0.0049639,0.0001844187,1.833401e-9,0.01287967,0.003663608,0.0005711475],"study_design_scores_gemma":[0.00006186479,0.00000358694,0.9793515,0.00004666638,0.000002463161,3.375898e-7,0.00480057,0.00005945368,7.891322e-9,0.002518354,0.01311271,0.00004246474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247737,0.002747529,0.000005097645,0.06915474,0.001243714,0.0007670447,0.00005437759,0.00001052502,0.00124329],"genre_scores_gemma":[0.9948592,0.000217209,0.000003954221,0.004447806,0.0001829106,0.00003599582,0.00001256825,0.000004803389,0.0002355669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0700855,"threshold_uncertainty_score":0.9998802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09542375014965242,"score_gpt":0.3948262871068908,"score_spread":0.2994025369572383,"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."}}