{"id":"W4211096775","doi":"10.5117/9789053569450","title":"The Cinema of Attractions Reloaded","year":2006,"lang":"en","type":"book","venue":"Amsterdam University Press eBooks","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Paris; Universiteit van Amsterdam; Université de Montréal; University of Notre Dame; Academy of Motion Picture Arts and Sciences; National Endowment for the Humanities","keywords":"Movie theater; Art; Visual arts","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005692146,0.0004870033,0.0003313247,0.001099582,0.006400039,0.008397141,0.0005928523,0.0009653847,0.04220589],"category_scores_gemma":[0.001893943,0.0002354274,0.0002459142,0.00118742,0.002486175,0.004384251,0.004084598,0.003232586,0.005812884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723644,"about_ca_system_score_gemma":0.0009821544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007721073,"about_ca_topic_score_gemma":0.01541228,"domain_scores_codex":[0.9993649,0.0002461376,0.00001131588,0.0001085943,0.0001433878,0.0001256164],"domain_scores_gemma":[0.9992692,0.0001325916,0.00005408603,0.00006642266,0.0001773741,0.000300395],"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":[0.0001187857,0.00004512615,0.00123461,0.0002931762,0.00001199356,0.001080654,0.09637495,0.0001093265,0.001597237,0.2308805,0.5884337,0.07981997],"study_design_scores_gemma":[0.000002108792,0.000007697333,0.0005327837,0.0001156039,0.000003165436,0.0001775268,0.01039644,0.0000352521,0.00009883897,0.001190737,0.9874355,0.000004527148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02600872,0.01130588,0.001272253,0.01843594,0.009257429,0.00006289068,0.000337905,0.0002588254,0.9330602],"genre_scores_gemma":[0.2891751,0.005454957,0.0008908404,0.003449267,0.003243636,0.00005769178,0.0002986226,0.0004287654,0.6970011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04220589,"threshold_uncertainty_score":0.1411928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275237983299199,"score_gpt":0.1929071941661647,"score_spread":0.1601548143331727,"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."}}