{"id":"W1562952171","doi":"10.3138/tric.34.2.293","title":"Solo Census: A Numerical Analysis of One-Person Productions in English Canada","year":2013,"lang":"en","type":"article","venue":"Theatre Research in Canada","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Expansive; Census; Geography; Terrain; Arctic; The arctic; Steppe; Population; Archaeology; Ethnology; History; Cartography; Sociology; Demography; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006856452,0.000297706,0.0003605342,0.005859108,0.001417237,0.001659678,0.0009805392,0.00024754,0.006207764],"category_scores_gemma":[0.006908054,0.0002418458,0.0003754348,0.01561725,0.0005234807,0.0006338363,0.0008510972,0.0003423568,0.001533337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01606551,"about_ca_system_score_gemma":0.01463398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895049,"about_ca_topic_score_gemma":0.9881521,"domain_scores_codex":[0.9990189,0.00007191861,0.00006969261,0.0001154536,0.0005008407,0.0002232225],"domain_scores_gemma":[0.9929448,0.0009619907,0.0005522101,0.00028619,0.004624735,0.0006301307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491234,0.0001196754,0.8832317,0.0003074742,0.0001342909,0.0004672947,0.008537033,0.007711401,0.0005633956,0.004084941,0.04728751,0.04720619],"study_design_scores_gemma":[0.00001416535,0.00002513088,0.9384857,0.0000600235,0.00002221098,0.0001115699,0.01145341,0.01238225,0.0003343028,0.0002639508,0.03680188,0.00004527585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821237,0.0004497773,0.00149216,0.0002587553,0.00001948,0.0001614334,0.2004016,0.0002222903,0.01487071],"genre_scores_gemma":[0.848268,0.0006018881,0.002757305,0.0000513838,0.00001172626,0.0001439909,0.1314674,0.0001142138,0.01658403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606551,"threshold_uncertainty_score":0.116564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08793221755784546,"score_gpt":0.2747504149340217,"score_spread":0.1868181973761762,"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."}}