{"id":"W2757790558","doi":"","title":"Faire image / Making Image","year":2014,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer vision; Artificial intelligence; 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":[0.001287861,0.0007876652,0.0002755517,0.002241579,0.002284546,0.00586374,0.0009844379,0.001641194,0.2457288],"category_scores_gemma":[0.008127046,0.0002567054,0.0004440073,0.0008260266,0.001567206,0.005535973,0.003352208,0.001847277,0.08695811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008721859,"about_ca_system_score_gemma":0.0009365162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538665,"about_ca_topic_score_gemma":0.005488941,"domain_scores_codex":[0.9988251,0.0001358747,0.00003776851,0.000138243,0.0006505841,0.0002123726],"domain_scores_gemma":[0.9977193,0.0004126744,0.0001021919,0.0004677101,0.0008634214,0.0004346821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001298151,0.0001075289,0.0008227017,0.0002866814,0.000007903903,0.0002928219,0.001785626,0.0001440513,0.006074434,0.09123214,0.5042222,0.394894],"study_design_scores_gemma":[0.00001340001,0.0000199323,0.0009423572,0.0001109421,0.000007734037,0.0003845536,0.001160916,0.0003542709,0.006006577,0.01280224,0.9781633,0.00003371896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005277952,0.0004722257,0.01643839,0.006081477,0.003154218,0.0002344822,0.0009269855,0.004372218,0.963042],"genre_scores_gemma":[0.07977797,0.0009189066,0.02878364,0.003731238,0.001565323,0.0002058575,0.001096799,0.004933614,0.8789867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2457288,"threshold_uncertainty_score":0.8220446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639687427362643,"score_gpt":0.2762054519217014,"score_spread":0.259808577648075,"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."}}