{"id":"W1513313232","doi":"10.1353/mod.2013.0094","title":"Getting Mary Married by Allan Dwan (review)","year":2013,"lang":"en","type":"article","venue":"Modernism/modernity","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hollywood; Studio; Art history; Performance art; Movie theater; Art; History; Character (mathematics); Visual arts","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":[0.001029311,0.0007813646,0.00117236,0.0016837,0.0007259221,0.002393182,0.001500067,0.001557639,0.03389037],"category_scores_gemma":[0.006885218,0.0003895181,0.0006325826,0.002396506,0.0005337521,0.002091869,0.001065995,0.00269706,0.009603622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332353,"about_ca_system_score_gemma":0.004055597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183182,"about_ca_topic_score_gemma":0.008934504,"domain_scores_codex":[0.9991865,0.0001657829,0.0001341314,0.0001357683,0.0002948362,0.00008300357],"domain_scores_gemma":[0.9973069,0.0007393981,0.0005008235,0.00006978104,0.0009710074,0.0004120088],"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":[0.00005996987,0.0000193305,0.0003021907,0.02239184,0.0001160138,0.000152054,0.0001127764,0.0000251949,0.0001206601,0.0004763297,0.780578,0.1956456],"study_design_scores_gemma":[0.00003339714,0.00002911528,0.001611458,0.01837612,0.0001788173,0.0009096526,0.0001652434,0.00001434593,0.00008077858,0.0002298292,0.9783546,0.00001669956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001258506,0.9852728,0.00004782608,0.006702205,0.003619721,0.00002782481,0.0001683322,0.00001863504,0.004016789],"genre_scores_gemma":[0.002046251,0.9777143,0.0001078655,0.01108211,0.002715867,0.00006706254,0.0003095681,0.00001587202,0.005941044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03389037,"threshold_uncertainty_score":0.1133746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912851051820734,"score_gpt":0.2162751575567682,"score_spread":0.1871466470385609,"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."}}