{"id":"W6923702741","doi":"10.14288/1.0402370","title":"Quebec on Screen : Brian Moore’s film adaptations of The Luck of Ginger Coffey and Black Robe","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Luck; Zoom; Performance art; Ridiculous; Portrait","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779162,0.0000310594,0.000218446,0.00002103155,0.0004568658,0.00004433308,0.0002157161,0.00007153481,0.0001323825],"category_scores_gemma":[0.0001522521,0.00008594219,0.0001081056,0.0003428652,0.001245595,0.0001556897,0.0001353595,0.0000841488,0.000002349046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003902888,"about_ca_system_score_gemma":0.0002460606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7395608,"about_ca_topic_score_gemma":0.9631119,"domain_scores_codex":[0.9990865,0.0001301636,0.0001105217,0.000197996,0.0003062137,0.0001686054],"domain_scores_gemma":[0.9991986,0.00009710375,0.0001361862,0.0001543445,0.0003511968,0.00006263627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000484603,0.0006078499,0.1304793,0.0002286058,0.000329526,0.0001500858,0.02284187,0.00007216965,0.0005453495,0.0004127686,0.237149,0.607135],"study_design_scores_gemma":[0.0004074591,0.00003369915,0.9706966,0.0001897469,0.00004247685,0.000002827155,0.02653233,0.0000264351,0.000005254594,0.0001327162,0.001846533,0.00008389477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732034,0.0003052693,0.00003128015,0.0008504582,0.0000810897,0.0001481045,0.0002197318,0.00001409586,0.02514659],"genre_scores_gemma":[0.993337,0.0004867363,0.0001286093,0.00005582885,0.00002620394,1.839142e-7,0.000005936135,0.000004720278,0.005954776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8402174,"threshold_uncertainty_score":0.4589448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124522592700744,"score_gpt":0.1982545000059739,"score_spread":0.1870092740789665,"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."}}