{"id":"W4323787401","doi":"10.33137/ic.v22i.39933","title":"Reaching Out to the Mainstream with CINEMA INSIEME","year":2022,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Movie theater; Mainstream; Art; Visual arts; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008962382,0.00008473195,0.00007149792,0.00009464824,0.0003152126,0.00003603056,0.0005064568,0.00001729743,0.00006616957],"category_scores_gemma":[0.00002428971,0.00006731447,0.0000176593,0.0003153142,0.00002096427,0.00003368774,0.00009004302,0.0002376442,0.00002239842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606547,"about_ca_system_score_gemma":0.00004125389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00455006,"about_ca_topic_score_gemma":0.08971534,"domain_scores_codex":[0.9994866,0.00001497214,0.00008719958,0.00009597839,0.0000923456,0.000222882],"domain_scores_gemma":[0.9992973,0.00002196476,0.00001286133,0.0005856176,0.00001000719,0.00007227808],"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":[0.000007670397,0.00002793457,0.002677938,0.0000258801,0.0001488662,0.0001259334,0.00449985,0.1504053,0.0004206344,0.007442253,0.5433051,0.2909127],"study_design_scores_gemma":[0.00007640823,0.00005864223,0.001629734,0.0000102148,0.000007690812,0.00003805567,0.00206934,0.00238679,0.00006878464,0.00008528915,0.9934024,0.0001666555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143406,0.001087455,0.000835573,0.02539808,0.0004903965,0.0005733372,0.0002613068,0.001668249,0.05534507],"genre_scores_gemma":[0.9970382,0.000004353094,0.001855224,0.0003543794,0.00002446924,0.00008152414,0.00001218419,0.00002488093,0.0006047945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500973,"threshold_uncertainty_score":0.926895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384383111601283,"score_gpt":0.192185452101507,"score_spread":0.1783416209854941,"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."}}