{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001386745,0.0005716942,0.0009544505,0.00008986788,0.0007726598,0.0004586098,0.0009478573,0.0004846596,0.0008680459],"category_scores_gemma":[0.00002801266,0.0004451065,4.635453e-7,0.0002508162,0.0002554805,0.0003175826,0.0001618794,0.0007113079,9.950541e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082782,"about_ca_system_score_gemma":0.01697621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999698,"about_ca_topic_score_gemma":0.9999152,"domain_scores_codex":[0.9944614,0.0007557528,0.0007417902,0.000997682,0.002151534,0.0008918529],"domain_scores_gemma":[0.9955979,0.001346787,0.0008085922,0.0009701384,0.000003852544,0.001272754],"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":[0.0001177841,0.00005478739,0.00313435,0.0005499974,0.0002406781,0.00004520694,0.000195083,0.000002418282,4.507949e-8,0.001292593,0.9940827,0.0002842928],"study_design_scores_gemma":[0.001329015,0.0002421483,0.0002278452,0.0001799789,0.0002245396,0.00006030079,0.004516146,0.000305087,3.882052e-10,3.154658e-7,0.9923769,0.000537785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002240318,0.004222083,0.00001606712,0.00001272155,0.0006286736,0.001189058,0.9936246,0.00007610304,0.0002082888],"genre_scores_gemma":[0.001194015,0.001522923,0.0001772159,0.001588021,0.0004261754,0.00003362466,0.9943323,0.0001299501,0.0005958066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01656793,"threshold_uncertainty_score":0.9998001,"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."}}