{"id":"W6939179006","doi":"10.6068/dp14baa264d6141","title":"Trend 1998 - 2004. Statistics Canada. CANSIM: Society and Community - Time Use | Country: Canada | Province: Ontario | Table: Average hours per week of television viewing, by selected age groups | Variable: Children 2 to 11 years | Units: # Hours, 1998-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-191.","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; Socioeconomic status; Descriptive statistics; Population statistics; Population; Economic 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":[],"consensus_categories":[],"category_scores_codex":[0.002218319,0.002464459,0.00290122,0.007947184,0.003471688,0.004221607,0.005645698,0.001382942,0.07856543],"category_scores_gemma":[0.01656633,0.001794325,0.002509125,0.0390065,0.0006234923,0.002318115,0.002290913,0.002869103,0.03830286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06000618,"about_ca_system_score_gemma":0.1316476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966,"about_ca_topic_score_gemma":0.9953951,"domain_scores_codex":[0.9957236,0.0002599575,0.0004953606,0.0005102513,0.002066139,0.0009447894],"domain_scores_gemma":[0.964418,0.001071377,0.001156304,0.0009068256,0.03059962,0.001847851],"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":[0.00003844309,0.000009230275,0.002120525,0.0004115411,0.0000332305,0.000009205485,0.00005067084,0.0001147616,0.00001280485,0.0003926591,0.9946659,0.002141086],"study_design_scores_gemma":[0.0001980848,0.00002048236,0.05524292,0.001140311,0.0001040452,0.000031965,0.0008563245,0.000498084,0.0001786298,0.0005318624,0.9410893,0.0001079391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009003943,0.00006036706,0.00002902754,0.000133651,0.00003175943,0.00002025546,0.9986534,0.00005316584,0.0009282759],"genre_scores_gemma":[0.001455451,0.0003717211,0.0004460185,0.0001629733,0.00002353327,0.0002082182,0.9923029,0.0001095187,0.004919777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07856543,"threshold_uncertainty_score":0.4353773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893601368534998,"score_gpt":0.2263534268574629,"score_spread":0.2074174131721129,"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."}}