{"id":"W2771603962","doi":"10.24908/ss.v15i5.6667","title":"Review of Karen Fang's Arresting Cinema","year":2017,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Fang; Movie theater; Art; Art history; Biology; Zoology","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":[],"consensus_categories":[],"category_scores_codex":[0.00120391,0.00008852487,0.0002862327,0.000003399428,0.001047054,0.00002937135,0.0003541489,0.00006014504,0.00006103741],"category_scores_gemma":[0.001923328,0.00007241977,0.0002067761,0.00007521909,0.0004955073,0.0001050841,0.00008261655,0.00009732076,0.0000137298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002870555,"about_ca_system_score_gemma":0.0001152289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007261783,"about_ca_topic_score_gemma":0.001831678,"domain_scores_codex":[0.999061,0.00007684129,0.0001785998,0.0001635344,0.0002649135,0.0002550898],"domain_scores_gemma":[0.9990139,0.0001031574,0.0002908584,0.0003209295,0.0002044187,0.00006675202],"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":[0.000004354049,0.00004209513,0.2540241,0.002830585,0.0001586674,0.000002693432,0.06222343,2.301271e-7,0.0001754565,0.001939007,0.632628,0.04597141],"study_design_scores_gemma":[0.000188769,0.00001339095,0.07090098,0.001928014,0.00001899886,3.261389e-7,0.01101494,8.247315e-7,0.0000278441,0.0002168611,0.9155095,0.0001795827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01548982,0.2588256,0.0001265126,0.03348865,0.002198906,0.0008979665,0.00005677318,0.0002112501,0.6887045],"genre_scores_gemma":[0.7950099,0.1992004,0.001007201,0.001496924,0.001085086,0.00002181606,0.000007411806,0.00001223119,0.002159105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.77952,"threshold_uncertainty_score":0.8053201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668311681267249,"score_gpt":0.3646246676132491,"score_spread":0.3279415508005766,"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."}}