{"id":"W6901590979","doi":"10.6068/dp14ba8a4c0b294","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Languages | Country: Canada | Table: Health indicator profile, by linguistic characteristic (mother tongue, first official language spoken) | Variable: Influenza immunization, less than one year ago, Mother tongue, neither English nor French, Both sexes | Units: %, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-148.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Census; Population; Socioeconomic status; Population statistics; Social statistics; First language","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":[0.0023697,0.002555054,0.003033357,0.007703487,0.003633003,0.005509397,0.005387682,0.001667034,0.121255],"category_scores_gemma":[0.0237,0.001871172,0.002291766,0.04433945,0.0007847373,0.002735934,0.002679389,0.003283476,0.07230445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06161163,"about_ca_system_score_gemma":0.1526749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946057,"about_ca_topic_score_gemma":0.9931705,"domain_scores_codex":[0.9951019,0.0003318167,0.0005951725,0.0006357476,0.002288075,0.001047341],"domain_scores_gemma":[0.9570565,0.00199216,0.001096052,0.00130602,0.0364049,0.002144354],"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":[0.00002328136,0.000006824286,0.0007181884,0.0002689041,0.00001773962,0.000005272384,0.0000191839,0.00009589463,0.000008768049,0.0002443138,0.997332,0.001259601],"study_design_scores_gemma":[0.0002201028,0.00001325922,0.02110058,0.001009689,0.00008245916,0.00002606418,0.0004633993,0.0004257701,0.0001799755,0.0006408436,0.975733,0.0001048993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003549644,0.00003988723,0.00001554094,0.00009758546,0.00002130596,0.0000120553,0.9989709,0.00005329759,0.0007539081],"genre_scores_gemma":[0.0006725358,0.0002714685,0.0003613766,0.0001800838,0.00001657187,0.0001271193,0.9946026,0.0001238361,0.003644305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.121255,"threshold_uncertainty_score":0.4470257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221023085872548,"score_gpt":0.2569306632248344,"score_spread":0.2348283546375796,"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."}}