{"id":"W6901507118","doi":"10.6068/dp14ba7bc28b547","title":"Trend 1997 - 2005. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | 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: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Amusement; Census; Socioeconomic status; Official statistics; Tourism; 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":[0.001944526,0.002538579,0.002723141,0.009463463,0.00334394,0.005059254,0.005485009,0.001490262,0.08847468],"category_scores_gemma":[0.01793964,0.001757783,0.002035415,0.04685533,0.0006918435,0.002569201,0.002252343,0.003194879,0.05321299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05040255,"about_ca_system_score_gemma":0.1462827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951207,"about_ca_topic_score_gemma":0.993327,"domain_scores_codex":[0.9955035,0.0002411413,0.0005043688,0.000586894,0.002077723,0.001086412],"domain_scores_gemma":[0.9680309,0.0011518,0.001005611,0.0008746412,0.0274173,0.001519815],"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":[0.00002022751,0.000005528212,0.0009132326,0.0002178745,0.00001831306,0.000006478024,0.00001909789,0.00009500016,0.000007932947,0.0003373386,0.9970918,0.001267128],"study_design_scores_gemma":[0.0001421865,0.00001189974,0.02302548,0.0009187172,0.00007693986,0.00002745527,0.0005483555,0.0004470539,0.0001812483,0.0005980374,0.973945,0.00007767854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005026422,0.0000476822,0.00001958027,0.0001134035,0.00002487887,0.00001141781,0.998929,0.00004755093,0.0007562372],"genre_scores_gemma":[0.0007964671,0.0002828822,0.0002748786,0.000137489,0.00001745246,0.00009392264,0.9944781,0.00009445909,0.00382432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08847468,"threshold_uncertainty_score":0.3656978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715246218171577,"score_gpt":0.2337291236465465,"score_spread":0.2165766614648307,"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."}}