{"id":"W6920600280","doi":"10.6068/dp14ba80dc53a43","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Never had influenza immunization, Urban core, Males | Units: , 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Socioeconomic status; Rural area; Population statistics; Social statistics; Demographic statistics; Economic 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":[0.002532211,0.002421798,0.002753404,0.007797686,0.003930284,0.005091473,0.005263658,0.001550872,0.1215391],"category_scores_gemma":[0.02075367,0.001864723,0.002095002,0.04622784,0.0007285209,0.002542759,0.002431057,0.003280338,0.07114967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06848424,"about_ca_system_score_gemma":0.1725485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995997,"about_ca_topic_score_gemma":0.9936511,"domain_scores_codex":[0.9949239,0.0003427376,0.0005643076,0.0005522146,0.002453007,0.001163806],"domain_scores_gemma":[0.9586205,0.001498139,0.001006698,0.001083905,0.0356803,0.002110501],"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":[0.00001781599,0.000006031339,0.0006798656,0.0001921722,0.00001160511,0.000005479789,0.00001865864,0.00007448495,0.000006594172,0.0002637265,0.9972333,0.001490221],"study_design_scores_gemma":[0.0001498808,0.00001209903,0.02347214,0.0008854197,0.00006254108,0.00002660857,0.0005328542,0.0003452195,0.0001400445,0.0006161641,0.9736726,0.00008433531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004692483,0.00006114766,0.00002450017,0.0001528131,0.00003283175,0.00001932971,0.9982232,0.0000601949,0.001379019],"genre_scores_gemma":[0.001149273,0.0004929427,0.0006510357,0.0002969328,0.00002647654,0.0001930996,0.9895918,0.0001754457,0.00742296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1215391,"threshold_uncertainty_score":0.4968902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04637502488971103,"score_gpt":0.2716487950540237,"score_spread":0.2252737701643127,"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."}}