{"id":"W4401087865","doi":"10.7202/1111671ar","title":"Animalités augmentées : leçons filmiques contemporaines","year":2024,"lang":"fr","type":"article","venue":"Intermédialités Histoire et théorie des arts des lettres et des techniques","topic":"Diverse academic research themes","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augment; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.01051504,0.001659989,0.001752194,0.002065716,0.001548473,0.005085429,0.003839282,0.001095765,0.003821267],"category_scores_gemma":[0.008461889,0.001474751,0.001414634,0.002208863,0.01225336,0.006963141,0.002128002,0.002488285,0.0009035955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318584,"about_ca_system_score_gemma":0.001213588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004573468,"about_ca_topic_score_gemma":0.001163281,"domain_scores_codex":[0.9857705,0.003312234,0.002868884,0.00275579,0.002893328,0.002399298],"domain_scores_gemma":[0.9886125,0.005997906,0.0005894155,0.002073402,0.00172543,0.001001287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002157401,0.0002947901,0.0006975884,0.0007964222,0.0003542306,0.001791474,0.008799127,0.000003083127,0.00561093,0.2763334,0.1840269,0.5210763],"study_design_scores_gemma":[0.0002359873,0.0008332666,0.0001830127,0.005813551,0.0001414273,0.0004512877,0.002231546,0.000225221,0.01752121,0.2586525,0.7125806,0.001130313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03704037,0.1228115,0.02091156,0.04957598,0.0055393,0.002560991,0.002172633,0.005256946,0.7541307],"genre_scores_gemma":[0.5248696,0.01300287,0.01745069,0.003322827,0.001029939,0.0005808144,0.0001194457,0.0003903915,0.4392335],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5285537,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254224640411896,"score_gpt":0.4102874182116527,"score_spread":0.284864954170463,"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."}}