{"id":"W4309153984","doi":"10.4000/estampe.3003","title":"Nouveaux dessins de Léonard Thiry","year":2022,"lang":"fr","type":"article","venue":"Nouvelles de l estampe","topic":"Death, Funerary Practices, and Mourning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Computer science; Natural language processing; Computer graphics (images)","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":[0.00269793,0.0003300939,0.0003577904,0.0001496461,0.003225112,0.00028644,0.0008875348,0.0002798903,0.008950436],"category_scores_gemma":[0.0003994021,0.0004057719,0.0002596012,0.0008218767,0.0005190026,0.0007498409,0.0004434416,0.00137158,0.0003664171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233307,"about_ca_system_score_gemma":0.003745053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004409387,"about_ca_topic_score_gemma":0.001447304,"domain_scores_codex":[0.9949562,0.001762077,0.000426962,0.0005667079,0.0008946714,0.001393397],"domain_scores_gemma":[0.9978013,0.0008453604,0.0003593769,0.0003958978,0.00008837158,0.0005096861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002504266,0.001355506,0.01246112,0.0001547929,0.0002319922,0.001248753,0.4291686,0.005511902,0.0009571455,0.132902,0.1131482,0.3026096],"study_design_scores_gemma":[0.0004294222,0.0002118401,0.0005566293,0.00004737403,0.0001307829,0.0001462515,0.06756437,0.001623095,0.00007039002,0.002514277,0.9262497,0.0004558598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852591,0.01972025,0.001191539,0.02575504,0.007279044,0.0004194408,0.0001207301,0.0002754982,0.3599793],"genre_scores_gemma":[0.6870885,0.008315966,0.00843828,0.006501595,0.002127012,0.0001035613,0.00003257256,0.00009936074,0.2872932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8131015,"threshold_uncertainty_score":0.9998394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094172224403075,"score_gpt":0.3048659656775958,"score_spread":0.273924243433565,"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."}}