{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001708317,0.001183824,0.001544848,0.0002621612,0.0003823259,0.0006227766,0.0009040812,0.0008071648,0.1116791],"category_scores_gemma":[0.003519568,0.001092017,0.0004395059,0.001093989,0.001185344,0.001643024,0.0004424989,0.002080837,0.007002534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004589674,"about_ca_system_score_gemma":0.0004767082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009671929,"about_ca_topic_score_gemma":0.000001200174,"domain_scores_codex":[0.9935087,0.0003351038,0.001184018,0.00151912,0.001195227,0.002257813],"domain_scores_gemma":[0.9954463,0.0003648037,0.0005014868,0.001889838,0.0007693202,0.001028291],"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":[0.000106903,0.0006703925,0.0007124007,0.001807615,0.0003044081,0.0006016608,0.0003632872,0.00003074874,0.05650386,0.01759956,0.9139767,0.007322444],"study_design_scores_gemma":[0.00377233,0.0005016614,0.0004935485,0.00557506,0.0009611812,0.0009580984,0.001074053,0.006635368,0.005408852,0.002247802,0.9712511,0.001120919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007552793,0.0111161,0.01455732,0.001341773,0.007233117,0.001215108,0.000196707,0.0005936556,0.9629909],"genre_scores_gemma":[0.01075199,0.0006725335,0.06029235,0.09984351,0.009595798,0.0001757248,0.0007122026,0.0004584001,0.8174975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1454934,"threshold_uncertainty_score":0.999153,"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."}}