{"id":"W4213250081","doi":"10.1522/radm.no5.1413","title":"Évolutions de l’intelligence artificielle au travail et collaborations humain-machine","year":2022,"lang":"fr","type":"article","venue":"Ad machina l avenir de l humain au travail","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004295357,0.0005624648,0.0003619308,0.00197816,0.002304646,0.006484886,0.001654693,0.001926913,0.006932864],"category_scores_gemma":[0.01723924,0.0004582356,0.0007136362,0.002100456,0.004095508,0.00684711,0.004776428,0.001939133,0.001752924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538413,"about_ca_system_score_gemma":0.003338871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140309,"about_ca_topic_score_gemma":0.01047725,"domain_scores_codex":[0.9936258,0.002769308,0.0002068201,0.001136062,0.001802138,0.0004599423],"domain_scores_gemma":[0.9890589,0.004757925,0.001509291,0.001910953,0.001765857,0.0009970147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00031075,0.0003142502,0.04125632,0.0007481055,0.0001835636,0.001282556,0.04158314,0.0193605,0.01193257,0.381442,0.007254612,0.4943316],"study_design_scores_gemma":[0.00006328381,0.000561051,0.07915992,0.0007832735,0.00014641,0.002405376,0.02842448,0.0697652,0.01331139,0.2689437,0.5361575,0.0002784822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4152986,0.005882614,0.3244882,0.009280985,0.0003165439,0.0003997538,0.0003725245,0.001677847,0.2422829],"genre_scores_gemma":[0.8822032,0.001586779,0.07814559,0.0006271343,0.00007828798,0.0001946328,0.0004128529,0.0001989181,0.03655265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140309,"threshold_uncertainty_score":0.02567309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221847179837016,"score_gpt":0.2566565937165982,"score_spread":0.2344718757328966,"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."}}