{"id":"W6976845157","doi":"10.6068/dp14ba89cc2a038","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Contact with medical doctors, by age group and sex, household population aged 12 and over | Variable: 35-44 years, Total population for the variable contact with medical doctors, Both sexes | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Health care; Health statistics; Medical statistics; Population; Official statistics; Socioeconomic status; Population statistics","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":[0.002585872,0.00267601,0.003042926,0.008643974,0.003329921,0.00494608,0.006230075,0.001643112,0.1027172],"category_scores_gemma":[0.02197294,0.001912753,0.002482001,0.04054619,0.000634324,0.002334792,0.002407716,0.003265526,0.051904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05603028,"about_ca_system_score_gemma":0.1264275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947497,"about_ca_topic_score_gemma":0.9926679,"domain_scores_codex":[0.9954891,0.0003483345,0.0005680171,0.0006028015,0.001925499,0.001066371],"domain_scores_gemma":[0.9652302,0.001644045,0.00124375,0.001094799,0.02890215,0.001885133],"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":[0.0000268401,0.000006777819,0.001003252,0.0002847638,0.00002424743,0.000005581958,0.00002265988,0.0001067707,0.000006405987,0.0003051761,0.9966917,0.001515712],"study_design_scores_gemma":[0.0002697538,0.00001699196,0.03001197,0.001221178,0.00009946372,0.00003092514,0.0005617418,0.0006474552,0.0001607199,0.0007713192,0.9661055,0.0001030332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004376678,0.00003968241,0.00001841694,0.0001116573,0.00002030678,0.00001462585,0.9990382,0.00004679857,0.0006664749],"genre_scores_gemma":[0.0008846565,0.0002488677,0.0003690288,0.0001579957,0.00001802436,0.0001685051,0.9948507,0.0001001751,0.003202004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1027172,"threshold_uncertainty_score":0.40653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227994234551668,"score_gpt":0.2847537118466474,"score_spread":0.2624737695011307,"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."}}