{"id":"W2292168419","doi":"10.1525/fq.2015.69.2.5","title":"Evidence of Visibility","year":2015,"lang":"en","type":"article","venue":"Film Quarterly","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filmmaking; Visibility; Visual arts; Art; State (computer science); Media studies; Geography; History; Meteorology; Computer science; Sociology; Movie theater; Algorithm","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":[0.006674832,0.0002080441,0.0005579354,0.00365954,0.001736871,0.009789334,0.001855181,0.001755826,0.04787281],"category_scores_gemma":[0.1857422,0.0002594292,0.0003778361,0.006786209,0.002850765,0.00637728,0.003555584,0.002893835,0.003693676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098143,"about_ca_system_score_gemma":0.004983528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02848177,"about_ca_topic_score_gemma":0.02263111,"domain_scores_codex":[0.9872465,0.002654347,0.001085832,0.002029374,0.004944854,0.002039122],"domain_scores_gemma":[0.7265069,0.1361876,0.06321891,0.01873093,0.0376629,0.01769282],"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":[0.00129398,0.0001957596,0.4830042,0.002381125,0.0004476664,0.001214049,0.01225973,0.0002641033,0.0005333082,0.1242776,0.2529067,0.1212219],"study_design_scores_gemma":[0.0001394975,0.0001954787,0.623648,0.003165219,0.0002494784,0.001030806,0.01409641,0.000422219,0.0007358695,0.02542045,0.3308179,0.00007864147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2977068,0.0363874,0.002003216,0.1126152,0.002446035,0.0001374981,0.02769707,0.0001956364,0.5208111],"genre_scores_gemma":[0.9790983,0.004793444,0.0002269175,0.003038852,0.00120175,0.00002969269,0.00238752,0.0001009143,0.009122583],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04787281,"threshold_uncertainty_score":0.1601505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108623654051417,"score_gpt":0.2716748855635918,"score_spread":0.1630512315121748,"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."}}