{"id":"W4414460109","doi":"10.47854/rnxre563","title":"Intelligence artificielle","year":2025,"lang":"fr","type":"article","venue":"Anthropen","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Vision; Context (archaeology); Field (mathematics); Knowledge production","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001087584,0.000123711,0.0001988683,0.00004782909,0.001137031,0.00032414,0.0004860261,0.0002845509,0.004098097],"category_scores_gemma":[0.0005688359,0.0001313038,0.0001039099,0.000792216,0.00239685,0.0004594449,0.0001618779,0.0003641431,0.001568707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085641,"about_ca_system_score_gemma":0.0005756151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238816,"about_ca_topic_score_gemma":0.004447022,"domain_scores_codex":[0.9985459,0.0002524426,0.0002492085,0.0002467018,0.0002486347,0.0004570713],"domain_scores_gemma":[0.9990158,0.0003205129,0.00006569248,0.0002276648,0.00024656,0.0001237333],"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":[0.000003981525,0.0001037002,0.0001838427,0.00002304254,0.00003462192,0.000007328547,0.00938922,0.00001637986,0.00002049056,0.784579,0.06172787,0.1439105],"study_design_scores_gemma":[0.00003639029,0.00003977203,0.0001760146,0.0001832354,0.00003091978,1.838639e-7,0.01524176,0.0001784173,0.0006673916,0.1371161,0.8461859,0.0001439338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00317417,0.007257911,0.001327031,0.252368,0.004727629,0.0001881286,0.000006685652,0.00003190243,0.7309185],"genre_scores_gemma":[0.546643,0.007700072,0.0001816923,0.004499338,0.0003232317,0.000003745875,0.000001430993,0.00000794241,0.4406395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.784458,"threshold_uncertainty_score":0.9992087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08237299570032508,"score_gpt":0.44430725671565,"score_spread":0.3619342610153249,"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."}}