{"id":"W2944719025","doi":"10.1162/leon_r_01760","title":"<i>Movement, Action, Image, Montage: Sergei Eisenstein and the Cinema in Crisis</i> by Luka Arsenjuk. University of Minnesota Press, Minneapolis, MN, 2018. 280 pp., illus. Paper. ISBN: 978-1517903206.","year":2019,"lang":"en","type":"article","venue":"Leonardo","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Movie theater; Download; Action (physics); Citation; State (computer science); Art history; Movement (music); Art; Media studies; Visual arts; Computer science; Sociology; Library science; World Wide Web; Aesthetics","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":[0.0007942481,0.001511435,0.0005558957,0.001921296,0.001136667,0.005448324,0.0007792925,0.001899514,0.1527916],"category_scores_gemma":[0.001951703,0.0004674574,0.0002861319,0.001895784,0.001526717,0.00645449,0.003250065,0.002811776,0.09318486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925066,"about_ca_system_score_gemma":0.001061528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005117748,"about_ca_topic_score_gemma":0.009783978,"domain_scores_codex":[0.9995776,0.0001108455,0.00002182968,0.0000713808,0.0001623471,0.00005603523],"domain_scores_gemma":[0.9992554,0.000257184,0.00009060017,0.00004333889,0.0001460367,0.0002073613],"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":[0.000008207565,0.000005189327,0.00005325153,0.0001687674,0.000002034636,0.00001880989,0.0004393128,0.00001528603,0.0001065086,0.003070029,0.9663211,0.02979147],"study_design_scores_gemma":[0.000001517395,0.00000453114,0.000386704,0.0004696717,0.000001814319,0.00009798568,0.0004784946,0.00001706856,0.00004406413,0.0006633753,0.9978308,0.000003930102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0008523101,0.5442219,0.001126442,0.07971328,0.01916553,0.0001026261,0.00055207,0.0006324201,0.3536334],"genre_scores_gemma":[0.01300096,0.2131058,0.0008632671,0.007446474,0.008149394,0.0001117245,0.0004409566,0.0005441137,0.7563373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1527916,"threshold_uncertainty_score":0.511139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152549576130445,"score_gpt":0.2244446900459098,"score_spread":0.2129191942846054,"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."}}