{"id":"W2084513753","doi":"10.4000/critiquedart.2267","title":"Présumées indépendantes : les images sans les mots","year":2000,"lang":"fr","type":"article","venue":"Critique d’art","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Automotive Partnership Council","funders":"","keywords":"Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002206818,0.0005989778,0.0002867092,0.002060721,0.007719476,0.01420861,0.0007516343,0.002253763,0.01143981],"category_scores_gemma":[0.008787794,0.0003205366,0.0003954773,0.001244213,0.02318295,0.01030894,0.004345472,0.004133438,0.002440359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240485,"about_ca_system_score_gemma":0.001693175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805798,"about_ca_topic_score_gemma":0.005759954,"domain_scores_codex":[0.9973714,0.001305196,0.00006337103,0.0003406534,0.000683917,0.0002354638],"domain_scores_gemma":[0.9954625,0.002599058,0.0003656578,0.0006291665,0.0005724342,0.0003712768],"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":[0.00006385271,0.0000210809,0.000764851,0.0001363383,0.000008972176,0.0006070328,0.1559841,0.00008099654,0.001562999,0.8043064,0.01547068,0.02099262],"study_design_scores_gemma":[0.00001846939,0.00003920021,0.002076229,0.0003812514,0.0000218092,0.001013802,0.08241907,0.0002963422,0.002289803,0.1214733,0.7899414,0.00002932653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04929995,0.005823604,0.008863425,0.02390683,0.001302162,0.00002574185,0.00005977139,0.00011427,0.9106041],"genre_scores_gemma":[0.8552957,0.003219224,0.002460495,0.002447637,0.001287486,0.00005808434,0.00005372298,0.0002599942,0.1349178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01420861,"threshold_uncertainty_score":0.03826994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264214399208118,"score_gpt":0.3219510645277966,"score_spread":0.1955296246069848,"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."}}