{"id":"W2970451043","doi":"10.15353/kinema.vi.910","title":"Innovations at Cannes","year":2000,"lang":"en","type":"article","venue":"Kinema A Journal for Film and Audiovisual Media","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jury; Competition (biology); Management; Political science; Art; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002305065,0.0006085577,0.0002268125,0.001123466,0.006174651,0.01088593,0.0008724844,0.00538418,0.1103061],"category_scores_gemma":[0.006235353,0.0003284098,0.0003821173,0.001130044,0.002578829,0.002715545,0.003169579,0.005066508,0.02848321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008612522,"about_ca_system_score_gemma":0.009918487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06158518,"about_ca_topic_score_gemma":0.1625991,"domain_scores_codex":[0.9969656,0.000423215,0.00005785344,0.0005097139,0.00152594,0.0005177209],"domain_scores_gemma":[0.9973164,0.0003100145,0.0001211386,0.0002142997,0.0008381163,0.001199901],"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":[0.00002445638,0.00002422325,0.000223966,0.00003883462,0.000001754404,0.0001245556,0.0008820069,0.00004623145,0.0002768303,0.03925626,0.9203144,0.0387866],"study_design_scores_gemma":[0.000001026051,0.000002606525,0.0001434879,0.00001351825,4.24523e-7,0.00001446491,0.000118907,0.000007644042,0.00004016376,0.0002713062,0.9993839,0.000002596714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004407379,0.01428685,0.001449823,0.1212604,0.02338845,0.00008108537,0.0003597978,0.0008146043,0.8339517],"genre_scores_gemma":[0.01357912,0.002263041,0.0005465423,0.008207765,0.001112342,0.00002749831,0.00009876455,0.0002237748,0.9739411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1103061,"threshold_uncertainty_score":0.3690105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791042243775256,"score_gpt":0.2629469736113755,"score_spread":0.2250365511736229,"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."}}