{"id":"W1738574168","doi":"10.5117/9789053569443","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":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Paris; Université de Montréal; Universiteit van Amsterdam; University of Notre Dame; Academy of Motion Picture Arts and Sciences","keywords":"Movie theater; Art; Art history","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304737,0.0002035355,0.0004976692,0.0001522149,0.0002884996,0.00002179326,0.0003818372,0.0002051263,0.0000131307],"category_scores_gemma":[0.00002175294,0.000208822,0.0002460265,0.000019101,0.0002685255,0.00005227246,0.0002038617,0.0002853622,0.00003308863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474286,"about_ca_system_score_gemma":0.0000538051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006007412,"about_ca_topic_score_gemma":0.0002301299,"domain_scores_codex":[0.9990141,0.00001341753,0.0003812569,0.0003130187,0.00005231498,0.0002258969],"domain_scores_gemma":[0.9985773,0.0002006217,0.0006197977,0.000487554,0.00006484671,0.00004986565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003264732,0.00002759357,0.00009636173,0.00008220921,0.0002426353,0.00001641921,0.0002538979,0.000003636454,0.00000232666,0.6068943,0.3917254,0.0006226213],"study_design_scores_gemma":[0.0005029676,0.00003671271,0.0003397648,0.00005277324,0.00006185807,0.000002447801,0.00006015179,0.00000751975,0.0000193032,0.002818497,0.995896,0.0002020309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001572586,0.001125872,0.0000830311,0.0001286073,0.0005347424,0.0002718831,0.0003234952,0.00003705448,0.9973381],"genre_scores_gemma":[0.001518829,0.0004050522,0.00003838973,0.00002159488,0.0001527774,0.000001813389,0.00003004765,0.00002319674,0.9978083],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6041706,"threshold_uncertainty_score":0.8515515,"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."}}