{"id":"W6957850304","doi":"10.6068/dp14ba8aa9c7f71","title":"Trend 1999 - 2000. Statistics Canada. CANSIM: Culture and Leisure - Film and Video | Country: Canada | Table: Revenue of film, video and audio-visual distribution and videocassettes wholesaling companies, by financial control and primary intended markets | Variable: Foreign control, Exports, film, video and audio-visual distribution revenue (from foreign clients) | Units: $CAD x 1,000, 1999-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-046.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Revenue; Official statistics; Distribution (mathematics); Economic statistics; Population; Summary statistics; Socioeconomic status; Publication","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":[0.001893507,0.00265746,0.002609236,0.009612039,0.003317896,0.005247917,0.005151792,0.001493691,0.07654541],"category_scores_gemma":[0.01760904,0.001571589,0.002027235,0.04124063,0.0007034517,0.002437931,0.002303537,0.002847164,0.05187963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0481644,"about_ca_system_score_gemma":0.1146218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941639,"about_ca_topic_score_gemma":0.9925101,"domain_scores_codex":[0.9960696,0.0002230167,0.0004026029,0.0005358554,0.001850346,0.0009186067],"domain_scores_gemma":[0.9673883,0.00114496,0.0009387633,0.0009592792,0.02814369,0.00142507],"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":[0.00002162596,0.000005850136,0.0009325754,0.000209328,0.00001705229,0.00000681072,0.00001695069,0.000105049,0.000008899864,0.0003228553,0.996877,0.001475947],"study_design_scores_gemma":[0.0001288139,0.0000109772,0.02089513,0.0007849834,0.00006108529,0.00002561561,0.0004500931,0.0005433531,0.00019933,0.0005604698,0.9762596,0.00008058308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004651377,0.00004534542,0.00001862096,0.00009916893,0.00002412939,0.000009685677,0.9989929,0.0000537109,0.0007099359],"genre_scores_gemma":[0.0006301497,0.0002179197,0.0002624048,0.0001079405,0.00001508171,0.00007311743,0.9954703,0.00007534078,0.003147814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07654541,"threshold_uncertainty_score":0.3494588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169360305554224,"score_gpt":0.239126904527153,"score_spread":0.2274333014716107,"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."}}