{"id":"W3100735647","doi":"10.18146/tmg.588","title":"Queering New Cinema History: Affective Methodologies for Comparative History","year":2020,"lang":"en","type":"article","venue":"TMG Journal for Media History","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Movie theater; Hollywood; Ephemera; Queer; Mainstream; Scholarship; Aesthetics; Film studies; Exhibition; Sociology; Queer theory; Art; Visual arts; Media studies; Gender studies; Art history; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008767014,0.000307069,0.001132263,0.0002831508,0.0001311065,0.0000084054,0.0003160641,0.0001329689,0.0003987337],"category_scores_gemma":[0.002648958,0.0003336544,0.0004233525,0.00005807919,0.0001929503,0.0002591818,0.00005145408,0.0003986562,0.00009027077],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005895414,"about_ca_system_score_gemma":0.0004407649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008396618,"about_ca_topic_score_gemma":0.00007581955,"domain_scores_codex":[0.9982389,0.00004631955,0.0007192339,0.0004601956,0.00007937325,0.0004559337],"domain_scores_gemma":[0.9973363,0.001177457,0.000757294,0.000178556,0.0001292115,0.0004211927],"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":[0.0002975704,0.0000276309,0.0001448277,0.0001072433,0.0001903702,0.000006698833,0.0433469,0.00003156145,0.0003576741,0.01445882,0.9399276,0.001103152],"study_design_scores_gemma":[0.001953087,0.0004485247,0.0003849539,0.00002566046,0.00006608748,0.00001207614,0.001408539,0.0002979129,0.00007953023,0.004609339,0.9903362,0.000378064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01041647,0.7367563,0.1654642,0.00948151,0.05900387,0.002159664,0.0002039668,0.0006519072,0.0158621],"genre_scores_gemma":[0.2856489,0.02350345,0.4838185,0.03186091,0.05607034,0.002630009,0.0002758069,0.00187482,0.1143173],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7132529,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.395101114201503,"score_gpt":0.3157241942924483,"score_spread":0.07937691990905471,"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."}}