{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000412201,0.00006559876,0.0002528948,0.00006071447,0.00002778818,0.000006973222,0.0001116989,0.00003293113,0.0001301359],"category_scores_gemma":[0.0002447681,0.00006816676,0.00005932665,0.0001123313,0.00004641467,0.0001426355,0.00001965009,0.00004726458,0.0004291821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002671213,"about_ca_system_score_gemma":0.00001755236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002088704,"about_ca_topic_score_gemma":0.00005446075,"domain_scores_codex":[0.9993064,0.000007775635,0.0003420847,0.0001848605,0.00003016138,0.0001286624],"domain_scores_gemma":[0.9994138,0.00005769666,0.0001414183,0.0002658019,0.00004940593,0.00007190254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001907453,0.0004074663,0.7323208,0.0003357354,0.0001330607,0.00001187923,0.07052541,0.00001627006,0.0002051552,0.1018453,0.07524988,0.01875835],"study_design_scores_gemma":[0.003101178,0.005863489,0.6218327,0.0003544089,0.00003134873,0.00001134456,0.008057449,0.001770226,0.0007376444,0.2459363,0.1113011,0.001002883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727372,0.007262484,0.000733165,0.0007064631,0.0006469513,0.0001165814,0.00002995195,0.00002484701,0.01774234],"genre_scores_gemma":[0.9985024,0.00003212364,0.0002972627,0.00005278448,0.00007479655,0.000009563839,0.000001264417,0.000005163092,0.001024651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144091,"threshold_uncertainty_score":0.551641,"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."}}