{"id":"W6945339414","doi":"10.25318/2110014201-eng","title":"Movie theatres and drive-ins, by summary characteristics, inactive","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Ticket; Legibility; Column (typography)","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":[0.0006365527,0.001597975,0.001172971,0.005253316,0.0007681202,0.00262344,0.001843705,0.0009313267,0.07032632],"category_scores_gemma":[0.006421762,0.0006574143,0.0008043825,0.01693618,0.0003239367,0.001427533,0.0008906157,0.00144288,0.07452796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005686325,"about_ca_system_score_gemma":0.009122279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5587611,"about_ca_topic_score_gemma":0.5616899,"domain_scores_codex":[0.9988804,0.00005798612,0.00013641,0.0002520811,0.0004072671,0.0002657735],"domain_scores_gemma":[0.9957696,0.0004672321,0.0005100856,0.0004246874,0.002415226,0.0004131973],"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":[0.00003282722,0.000009475975,0.001417211,0.0002047247,0.00001244468,0.000008586071,0.0000116239,0.0001371083,0.00002544301,0.0002942003,0.9963852,0.001461076],"study_design_scores_gemma":[0.0001138548,0.00001531056,0.02409107,0.0003002778,0.00002802399,0.00003688265,0.0001483416,0.0003567239,0.0002195836,0.0003971147,0.9742637,0.00002920695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000111896,0.00003048052,0.000009758925,0.00002757919,0.00001042283,0.000003375641,0.9991778,0.00003839739,0.0005903432],"genre_scores_gemma":[0.0005332936,0.00006891693,0.00004763404,0.00002225425,0.00000560671,0.00002034544,0.9977715,0.00001951016,0.001510924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4412389,"threshold_uncertainty_score":0.887675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004339132490816384,"score_gpt":0.2402544976814685,"score_spread":0.2359153651906521,"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."}}