{"id":"W6976215829","doi":"10.6068/dp14ba861c0e336","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Contact with alternative health care providers, by age group and sex, household population aged 12 and over | Variable: 20-34 years, No contact with alternative health care providers, Males | 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":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Census; Health statistics; Population; Socioeconomic status; Official statistics; Medical statistics; Summary 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":[0.002701688,0.002719129,0.00302244,0.008834118,0.00340103,0.005001458,0.006350922,0.00163288,0.1049377],"category_scores_gemma":[0.02134398,0.001956977,0.002538309,0.04028572,0.0006431187,0.00235002,0.002424027,0.003308011,0.0504101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05936427,"about_ca_system_score_gemma":0.1372199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952106,"about_ca_topic_score_gemma":0.9930242,"domain_scores_codex":[0.9952396,0.0003466086,0.0005767521,0.0005985894,0.002111672,0.001126703],"domain_scores_gemma":[0.9635693,0.001528389,0.001243231,0.001064536,0.03065713,0.001937419],"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":[0.00002858802,0.000007504661,0.001029848,0.0002949566,0.0000240244,0.00000576325,0.00002346738,0.0001032936,0.000007103224,0.0003300554,0.9964869,0.00165848],"study_design_scores_gemma":[0.0002598488,0.00001846096,0.03082691,0.001232052,0.0001009655,0.00003037484,0.000579411,0.0005872051,0.0001659081,0.0007247427,0.9653723,0.0001017517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004888954,0.0000452429,0.00001932307,0.0001228301,0.00002300803,0.00001681785,0.9988802,0.0000489004,0.0007948003],"genre_scores_gemma":[0.000975138,0.0002857282,0.0004025119,0.0001759558,0.00001999091,0.0001810623,0.9939089,0.0001091086,0.003941573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1049377,"threshold_uncertainty_score":0.4307199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869324485498707,"score_gpt":0.2418276035363169,"score_spread":0.2231343586813299,"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."}}