{"id":"W6920276666","doi":"10.6068/dp14ba839af2436","title":"Trend 1990 - 1998. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Time spent watching VCR movies and playing computer games, per week, by students in selected countries | Variable: Watch VCR movies, 11 years, Males, 1 to 3 hours | Units: %, 1990-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-048.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Census; Statistics education; The arts; Official statistics; Population; Active listening; Socioeconomic status; Pie chart; 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":[0.001647531,0.002662422,0.00292351,0.008198093,0.002993977,0.0043299,0.005590869,0.00140362,0.07028101],"category_scores_gemma":[0.0136751,0.001655853,0.002495183,0.04046997,0.0006156071,0.002428527,0.002201694,0.003449638,0.04148271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03680458,"about_ca_system_score_gemma":0.09438808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931965,"about_ca_topic_score_gemma":0.9911617,"domain_scores_codex":[0.9964858,0.0001935405,0.0003828386,0.0004758821,0.001531127,0.0009308482],"domain_scores_gemma":[0.9749366,0.000825366,0.000932254,0.0006130689,0.02141895,0.001273781],"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":[0.0000399462,0.00001062988,0.002096089,0.0003606422,0.00003235967,0.000008645994,0.00003275129,0.0001146597,0.000009765806,0.0002898864,0.9954248,0.001579749],"study_design_scores_gemma":[0.0003086144,0.00002556612,0.06243291,0.001387739,0.0001346939,0.00004058574,0.0009579892,0.0006008998,0.0002355085,0.0005997079,0.9331583,0.0001174928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007048635,0.00004397508,0.00001501047,0.00008725112,0.00002191909,0.00001114403,0.9991874,0.00003428165,0.0005284753],"genre_scores_gemma":[0.0008786585,0.0002216825,0.0001852757,0.00009992975,0.00001676643,0.000113566,0.9958966,0.00005821678,0.002529249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07028101,"threshold_uncertainty_score":0.2670372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604391191535372,"score_gpt":0.2439616662040804,"score_spread":0.2279177542887267,"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."}}