{"id":"W6938918324","doi":"10.6068/dp14ba84ef6d848","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Regular medical doctor, by age group and sex, household population aged 12 and over, Canadian Community Health Survey (CCHS 3.1, January to June 2005) | Variable: 12 to 19 years, Cannot find a regular medical doctor, Both sexes | Units: , 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Health care; Health statistics; Medical statistics; Official statistics; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002926665,0.002509289,0.002926922,0.007951561,0.003701233,0.005096398,0.005707636,0.001768677,0.1057284],"category_scores_gemma":[0.02677655,0.001807959,0.002403897,0.04323129,0.0007320365,0.002194901,0.002283101,0.00334556,0.05374469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0596869,"about_ca_system_score_gemma":0.1431689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945835,"about_ca_topic_score_gemma":0.9929121,"domain_scores_codex":[0.9946305,0.0003960078,0.0007168129,0.0006240868,0.002450479,0.001182032],"domain_scores_gemma":[0.9558627,0.002367924,0.001345932,0.001268264,0.03690568,0.002249407],"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":[0.00001960178,0.000006427557,0.000704845,0.0002351261,0.00001567439,0.000004500461,0.00001666921,0.00007866084,0.000004913265,0.0002066479,0.997651,0.001055894],"study_design_scores_gemma":[0.0002700582,0.00001626651,0.03012825,0.001226312,0.00009687057,0.00002792766,0.0005475291,0.000474574,0.0001506549,0.0006772805,0.9662793,0.0001050396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003565631,0.0000398028,0.000012299,0.0001126905,0.00002059162,0.00001286461,0.9991073,0.00003607149,0.0006227411],"genre_scores_gemma":[0.0007260366,0.0002345542,0.0003241184,0.0001950376,0.00001862173,0.0001358599,0.9953839,0.0000733537,0.00290838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8942717,"threshold_uncertainty_score":0.4330608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906921427234805,"score_gpt":0.2572410810154568,"score_spread":0.2281718667431087,"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."}}