{"id":"W6920292314","doi":"10.6068/dp14ba7b7c74148","title":"Trend 1997 - 2005. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Movie theatres and drive-ins, by summary characteristics | Variable: Admission receipts, Drive-ins | Units: $CAD x 1,000, 1997-2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-046.","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; Economic statistics; Population; Summary statistics; Socioeconomic status; Entertainment; Descriptive 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":[0.002121911,0.002504684,0.002611102,0.008538475,0.003396049,0.004832507,0.005130006,0.001427169,0.09101258],"category_scores_gemma":[0.01775208,0.001721954,0.002225643,0.03852606,0.0006395644,0.002460571,0.002259343,0.003125835,0.05063486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05382589,"about_ca_system_score_gemma":0.1384175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995322,"about_ca_topic_score_gemma":0.9932783,"domain_scores_codex":[0.9954141,0.0002722402,0.0004881875,0.0005659932,0.002222329,0.001037124],"domain_scores_gemma":[0.9665039,0.00106253,0.0009759638,0.0009291124,0.02897685,0.001551659],"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":[0.00002572924,0.000006470302,0.001099191,0.0002627398,0.00002265363,0.000007214372,0.00002106147,0.0001033149,0.000009489093,0.000367365,0.9962536,0.001821241],"study_design_scores_gemma":[0.0001523429,0.00001447305,0.02688569,0.0009800011,0.0000832126,0.00003025793,0.0005366231,0.0005097865,0.0001846888,0.0006333449,0.9699035,0.00008607867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006075317,0.00006259154,0.0000278657,0.0001402183,0.00003456538,0.00001544325,0.9986472,0.00005733883,0.0009540705],"genre_scores_gemma":[0.001054616,0.000369908,0.0004169175,0.0001880872,0.00002300773,0.0001262336,0.9926597,0.0001167767,0.00504479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09101258,"threshold_uncertainty_score":0.390536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528350546560306,"score_gpt":0.23850127326687,"score_spread":0.223217767801267,"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."}}