{"id":"W2766498757","doi":"10.1386/slac.14.2.215_1","title":"Connections and contestations: Film and media as emerging creative industries in today’s Havana","year":2017,"lang":"en","type":"article","venue":"Studies in Spanish & Latin-American Cinemas","topic":"Cuban History and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Creative industries; Government (linguistics); Consumption (sociology); Work (physics); Field (mathematics); Movie theater; Character (mathematics); Film industry; Private sector; Sociology; Political science; Economy; Art; Economics; Social science; Visual arts; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001687621,0.0003600229,0.0002459607,0.003968406,0.009631933,0.0167401,0.0009344856,0.001032322,0.005356435],"category_scores_gemma":[0.002093468,0.0002974028,0.0001693205,0.002253927,0.009361559,0.004315583,0.005402135,0.001662564,0.000202651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006499175,"about_ca_system_score_gemma":0.00252675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05314244,"about_ca_topic_score_gemma":0.09173352,"domain_scores_codex":[0.9985336,0.0007542748,0.00003126774,0.0001172483,0.0001267527,0.0004367321],"domain_scores_gemma":[0.9981253,0.0008111616,0.0003726181,0.00006576336,0.0001885641,0.0004365814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001075825,0.0001321809,0.04076961,0.0001445745,0.00001287739,0.001780087,0.896592,0.00003834004,0.0008257283,0.03542058,0.001597656,0.02257868],"study_design_scores_gemma":[0.000003374857,0.00001259297,0.0261049,0.0001364079,0.000005380276,0.0002169618,0.9460912,0.00004454924,0.0001175112,0.001152704,0.02610459,0.000009887447],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332461,0.002881546,0.0001528502,0.003358353,0.00006503671,0.00001765703,0.00003980015,0.000006659219,0.06023181],"genre_scores_gemma":[0.997572,0.0004602697,0.00004802652,0.00008453203,0.00001987892,0.000006669231,0.00001242616,0.00000383217,0.001792302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05314244,"threshold_uncertainty_score":0.1056662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08508135094292406,"score_gpt":0.3919329985194819,"score_spread":0.3068516475765579,"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."}}