{"id":"W3081110310","doi":"10.7202/1071100ar","title":"Vers un cinéma neuronal. Lunettes, verres de contact, implants","year":2020,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Physics; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061011,0.0004991678,0.0002244324,0.000654925,0.000556402,0.003926198,0.0004005366,0.00112985,0.01204414],"category_scores_gemma":[0.001547582,0.0002442799,0.0002400915,0.0003293281,0.002343474,0.00305728,0.001217515,0.001797554,0.001950242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008650812,"about_ca_system_score_gemma":0.000463453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334233,"about_ca_topic_score_gemma":0.00152423,"domain_scores_codex":[0.9997507,0.00006382484,0.000009370328,0.00006323316,0.00009149447,0.00002132452],"domain_scores_gemma":[0.9996665,0.0001344258,0.00003030744,0.0000317898,0.00008416356,0.00005288111],"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":[0.0004253423,0.00006758391,0.001042697,0.001385896,0.00004654233,0.001145908,0.009176426,0.001342784,0.2005394,0.503854,0.02572779,0.2552457],"study_design_scores_gemma":[0.00004579801,0.000423046,0.003171145,0.0008279415,0.00006631707,0.003532919,0.00370179,0.003814281,0.03905934,0.0782755,0.8669984,0.00008353456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1456732,0.07287744,0.2849495,0.02476002,0.007598896,0.0002091464,0.0006815956,0.001996708,0.4612535],"genre_scores_gemma":[0.6146941,0.03879955,0.08727391,0.004554818,0.00210067,0.0002176638,0.0003000517,0.0004925312,0.2515668],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01204414,"threshold_uncertainty_score":0.04029161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518968940855015,"score_gpt":0.2712881148143861,"score_spread":0.2193912207288846,"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."}}