{"id":"W6901520848","doi":"10.6068/dp14ba8baa93392","title":"Trend 2003 - 2005. Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Contact with telephone health line in the past 12 months, by age group and sex, household population aged 15 and over, Canadian Community Health Survey | Variable: 75 years and over, Total population for the variable contact with telephone health line, Both sexes | Units: , 2003-2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Census; Health statistics; Descriptive statistics; Telephone number; Population; Official statistics; Community health","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":[0.002824147,0.002709312,0.003104115,0.0087588,0.003156368,0.004844902,0.006066477,0.001623937,0.09007556],"category_scores_gemma":[0.02234655,0.001930826,0.002719067,0.0420264,0.0006337865,0.002260037,0.002381915,0.003197724,0.04453341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05876791,"about_ca_system_score_gemma":0.1401104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950912,"about_ca_topic_score_gemma":0.9928949,"domain_scores_codex":[0.9951559,0.0003936888,0.0006576546,0.0005962524,0.002106468,0.001090026],"domain_scores_gemma":[0.9657152,0.001634024,0.001310572,0.001072571,0.02839575,0.001871926],"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":[0.00002738846,0.000006554564,0.0009578498,0.0003198695,0.00002790549,0.000005862353,0.00001993408,0.0001075694,0.000006286983,0.0003075721,0.996538,0.001675153],"study_design_scores_gemma":[0.0002514227,0.00001848701,0.03061344,0.00145769,0.0001214784,0.0000358122,0.0005199707,0.0007081744,0.0001690874,0.000839152,0.9651543,0.0001109189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004525534,0.00005442571,0.00002116109,0.0001275137,0.00002653241,0.00001622744,0.998946,0.00005305305,0.0007097303],"genre_scores_gemma":[0.0009432704,0.0003132536,0.0004243893,0.0002146501,0.00002142863,0.0001673566,0.9944056,0.0001062954,0.00340372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09007556,"threshold_uncertainty_score":0.426393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495963139868567,"score_gpt":0.2573529359713538,"score_spread":0.2323933045726681,"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."}}