{"id":"W2748610280","doi":"","title":"Probative Pictures / Images probantes / Errol Morris, Standard Operating Procedure","year":2013,"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":"Political science; 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":[0.00670406,0.0005513114,0.0004459041,0.002833915,0.001168144,0.001093142,0.0007259003,0.000577462,0.03686719],"category_scores_gemma":[0.0262432,0.0003411225,0.0004514174,0.001570957,0.001517965,0.001064382,0.001107091,0.002010489,0.01217165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006899129,"about_ca_system_score_gemma":0.002526397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037018,"about_ca_topic_score_gemma":0.00296987,"domain_scores_codex":[0.9953858,0.001393152,0.0009296566,0.0007547711,0.001235686,0.0003008753],"domain_scores_gemma":[0.9898108,0.002737636,0.001301153,0.003375758,0.002298517,0.0004761555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00522909,0.0008210505,0.0194175,0.001619988,0.000131051,0.003349551,0.00138061,0.001108092,0.02193296,0.02007669,0.2070426,0.7178908],"study_design_scores_gemma":[0.002167324,0.003678552,0.201189,0.004110851,0.0003793609,0.04667209,0.003228481,0.01599871,0.05468814,0.0406121,0.6266435,0.0006319935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1812785,0.006978628,0.4635004,0.007842471,0.006412673,0.02131629,0.008781668,0.01714699,0.2867423],"genre_scores_gemma":[0.3293445,0.004441171,0.5134538,0.005548741,0.002112934,0.02549304,0.004526773,0.0043768,0.1107022],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03686719,"threshold_uncertainty_score":0.1233331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460121614370037,"score_gpt":0.2697142411888681,"score_spread":0.2551130250451677,"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."}}