{"id":"W4313518044","doi":"10.4000/confins.49180","title":"Souvenirs d'un sourire : vie et œuvre de Neli Aparecida de Mello-Théry","year":2022,"lang":"fr","type":"article","venue":"Confins","topic":"Literature, Culture, and Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005067844,0.0003996103,0.0003954929,0.00009284269,0.001979605,0.0006648264,0.0005032272,0.0001864351,0.02499905],"category_scores_gemma":[0.000048246,0.0004140395,0.0003438067,0.00009372163,0.000435165,0.0002283037,0.0002042456,0.0008468195,0.0002131331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333315,"about_ca_system_score_gemma":0.000484699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108616,"about_ca_topic_score_gemma":0.0007861775,"domain_scores_codex":[0.9973996,0.0004660824,0.0004050601,0.0004675294,0.0003524959,0.0009092892],"domain_scores_gemma":[0.9988712,0.0001278528,0.0001251037,0.0004470154,0.0001401435,0.0002886992],"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":[0.00003761224,0.0003354461,0.0001105808,0.0001461641,0.0001347711,0.0002563263,0.1324732,0.00005613661,0.0002132535,0.6965221,0.1644918,0.005222613],"study_design_scores_gemma":[0.0006630059,0.0001820731,0.000144414,0.00009265518,0.0001929575,0.0001281597,0.03766805,0.0001957793,0.0003564215,0.02295082,0.9369116,0.0005140108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1169398,0.06587369,0.0001657362,0.02299067,0.007515345,0.0005898797,0.003652825,0.0002892515,0.7819828],"genre_scores_gemma":[0.7138956,0.0005788946,0.0001771445,0.0167885,0.002487596,0.0001477463,0.0002970178,0.00008512758,0.2655424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7724198,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562979628241925,"score_gpt":0.2285972696588085,"score_spread":0.2129674733763892,"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."}}