{"id":"W6901588776","doi":"10.6068/dp14ba8cd27fd49","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: Injuries in past 12 months, not stated, Rural area outside census metropolitan area and census agglomeration, Females | 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; Rural area; American Community Survey; Socioeconomic status; Population statistics; Demographic statistics; Social 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":[0.002859792,0.002461432,0.002780995,0.007968009,0.004128146,0.004773131,0.005467651,0.001512553,0.1423633],"category_scores_gemma":[0.02315221,0.001871015,0.002146883,0.04741379,0.0006815045,0.002574206,0.002377241,0.003158217,0.07557636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06635517,"about_ca_system_score_gemma":0.168496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955922,"about_ca_topic_score_gemma":0.9932364,"domain_scores_codex":[0.9946855,0.0003701087,0.000631428,0.0005782314,0.002616308,0.001118487],"domain_scores_gemma":[0.951951,0.001803195,0.001071477,0.001215683,0.04172478,0.002233968],"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":[0.00001788311,0.000006526393,0.000657557,0.0001906139,0.00001104071,0.000005232239,0.00001859384,0.00006827489,0.000006406231,0.0002373819,0.9970919,0.001688612],"study_design_scores_gemma":[0.0001559252,0.00001337379,0.02561195,0.0009480217,0.0000637928,0.00002623965,0.000520831,0.0003600155,0.0001323238,0.0006411807,0.9714383,0.00008802532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004827523,0.00005840684,0.00002653952,0.0001473138,0.00003280079,0.00002350746,0.9981012,0.00006479659,0.001497214],"genre_scores_gemma":[0.001038591,0.0004685554,0.0006986823,0.0002976285,0.00002530947,0.000231462,0.9893386,0.0001839082,0.007717271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8576367,"threshold_uncertainty_score":0.4814427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486340210047598,"score_gpt":0.272254371976366,"score_spread":0.2236203509716062,"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."}}