{"id":"W4384255382","doi":"10.1515/9780773596757-002","title":"Canadian Cinema, Ephemeral Cinema","year":2014,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Movie theater; Ephemeral key; Art; Art history; Computer science; Computer security","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":[0.0004057708,0.00088894,0.0002724314,0.003322854,0.007152095,0.009674771,0.0008771197,0.001424192,0.09228292],"category_scores_gemma":[0.002026088,0.0003826416,0.0001634304,0.004612638,0.002820755,0.002443197,0.001060085,0.00158293,0.006829137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03242041,"about_ca_system_score_gemma":0.03534718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9318125,"about_ca_topic_score_gemma":0.9795707,"domain_scores_codex":[0.9993314,0.00005472969,0.00001137975,0.00008167527,0.0003851286,0.0001356559],"domain_scores_gemma":[0.9992126,0.00009545623,0.00002998212,0.0000472837,0.0004271382,0.0001873986],"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":[0.00001667054,0.00001200553,0.0003370461,0.000142889,0.000003427716,0.00008172189,0.003811184,0.0001006327,0.0002866557,0.2020706,0.7148859,0.07825132],"study_design_scores_gemma":[8.474911e-7,0.000001303628,0.00067538,0.00005805151,0.00000153909,0.00002611583,0.0006348512,0.00002479651,0.00004141189,0.001344159,0.9971871,0.00000448852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001586365,0.01883037,0.0004671983,0.004230132,0.001280091,0.00002710997,0.0008329076,0.00008766775,0.9726582],"genre_scores_gemma":[0.05128286,0.0188193,0.0008946388,0.0008459017,0.0005334582,0.00002568543,0.0005011534,0.0001437795,0.9269533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09228292,"threshold_uncertainty_score":0.3087171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937460900760233,"score_gpt":0.1793559867968282,"score_spread":0.1599813777892258,"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."}}