{"id":"W2619850804","doi":"","title":"Une esthétique du médico-légal / A Forensic Aesthetic","year":2013,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003183083,0.0008256984,0.0004063296,0.003221026,0.005960458,0.009055902,0.0006073759,0.002929593,0.01489389],"category_scores_gemma":[0.005118107,0.0002690361,0.0005272952,0.001771355,0.02084368,0.003309894,0.003076023,0.006508283,0.001788664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004152959,"about_ca_system_score_gemma":0.003493982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006175512,"about_ca_topic_score_gemma":0.006780395,"domain_scores_codex":[0.9969437,0.001477693,0.0001066059,0.0002584413,0.0009515292,0.0002621566],"domain_scores_gemma":[0.9978077,0.000956068,0.0001871978,0.0003048941,0.0005150863,0.0002291059],"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":[0.00008315642,0.0000520001,0.0006567155,0.0003141923,0.00001226697,0.0008381882,0.01341014,0.0001673262,0.002477794,0.8340464,0.07266939,0.07527254],"study_design_scores_gemma":[0.00001078464,0.00003307268,0.001740747,0.0004026799,0.000008842815,0.00206486,0.006701444,0.0001283089,0.0007820718,0.03139577,0.9567088,0.00002256135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02183465,0.0690482,0.005065023,0.08263154,0.01947379,0.00004459703,0.0001512059,0.0001463415,0.8016046],"genre_scores_gemma":[0.6373523,0.02772013,0.00613917,0.01113441,0.02642096,0.00007898641,0.00007088789,0.0004115328,0.2906716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01489389,"threshold_uncertainty_score":0.04982501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997120400895643,"score_gpt":0.2363938610992102,"score_spread":0.2164226570902538,"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."}}