{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001741465,0.0004443607,0.0003857472,0.00008669055,0.0004284453,0.002604179,0.0007007007,0.0002561888,0.006038428],"category_scores_gemma":[0.0001523762,0.0003724932,0.0002267329,0.0003638483,0.0005736518,0.004547533,0.0001804572,0.0003981435,0.00229446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005881635,"about_ca_system_score_gemma":0.0001151441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152705,"about_ca_topic_score_gemma":0.0006061433,"domain_scores_codex":[0.9976033,0.0001549852,0.0004426128,0.0006534287,0.0003487644,0.0007969375],"domain_scores_gemma":[0.9985235,0.0001927407,0.00007241785,0.000555845,0.0002633006,0.0003921955],"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":[0.00001493233,0.0003896223,0.0002153132,0.0001548658,0.00004017294,0.000564513,0.002449918,0.00003396059,0.001508869,0.09578388,0.624863,0.2739809],"study_design_scores_gemma":[0.000277847,0.0002681868,0.004203241,0.0005458217,0.0000256767,0.0005481758,0.0002333826,0.0006300785,0.01252559,0.01108013,0.9690644,0.0005974784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06321412,0.02079746,0.003968162,0.0479937,0.001133626,0.000383964,0.0002045761,0.0004144754,0.8618899],"genre_scores_gemma":[0.4350014,0.003097344,0.002497645,0.002497932,0.0006660411,0.00001797688,0.00004327555,0.0000405417,0.5561379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3717873,"threshold_uncertainty_score":0.9998727,"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."}}