{"id":"W2604788348","doi":"","title":"Measuring the Full Impact of Culture: Social Indicators and Canadian Cultural Policy","year":2016,"lang":"en","type":"article","venue":"World Academy of Science, Engineering and Technology, International Journal of Humanities and Social Sciences","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Social impact; Sociology; Demography","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":[0.006747853,0.0007171596,0.0005635085,0.006586589,0.00595999,0.005438089,0.00148961,0.0007809175,0.003000361],"category_scores_gemma":[0.02345737,0.0002762506,0.0005642594,0.0163206,0.002559931,0.002224993,0.002544001,0.001713132,0.0001247817],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1197215,"about_ca_system_score_gemma":0.2094818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972808,"about_ca_topic_score_gemma":0.9983101,"domain_scores_codex":[0.9950223,0.0008537136,0.0001928682,0.0002662619,0.002525045,0.001139738],"domain_scores_gemma":[0.9863421,0.002286843,0.001173075,0.0003874023,0.00768165,0.002128867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002768473,0.0002344624,0.6623945,0.0005994462,0.0004310634,0.0001103497,0.01132894,0.008625027,0.0005124099,0.1301824,0.02446635,0.1608383],"study_design_scores_gemma":[0.00002123816,0.00006461216,0.9357563,0.0005623513,0.0002464415,0.00002758535,0.01163061,0.004031427,0.0006654392,0.01069248,0.03618173,0.0001197563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.847804,0.007445662,0.002437085,0.02172497,0.0002165256,0.000135407,0.01012721,0.0000679908,0.1100412],"genre_scores_gemma":[0.9912335,0.002607329,0.001852173,0.0002749797,0.00001946746,0.00004311389,0.001017979,0.00001342603,0.002937929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8802785,"threshold_uncertainty_score":0.8686441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216363032730063,"score_gpt":0.3090385810941199,"score_spread":0.2668749507668193,"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."}}