{"id":"W2977742882","doi":"10.3917/pouv.170.0033","title":"IA et emploi : une menace artificielle","year":2019,"lang":"fr","type":"article","venue":"Pouvoirs","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Auto Workers","funders":"","keywords":"Humanities; Sociology; Political science; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004937378,0.0001310593,0.0001657465,0.00003909846,0.0001800845,0.000159311,0.0001868417,0.0001278817,0.002494088],"category_scores_gemma":[0.00001652056,0.0001428395,0.0001068925,0.0004276936,0.0002005063,0.00118224,0.0000223286,0.0001508552,0.01381518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009212237,"about_ca_system_score_gemma":0.0001285808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243277,"about_ca_topic_score_gemma":0.001188902,"domain_scores_codex":[0.9988635,0.00009160479,0.0002563132,0.0002080937,0.0001940568,0.0003864262],"domain_scores_gemma":[0.9994729,0.000118034,0.00007893389,0.0001668949,0.00003758523,0.0001257159],"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":[0.00002008133,0.0001961376,0.003297531,0.0000738019,0.00004762349,0.000002577604,0.03468561,0.001209177,0.00002793705,0.8423573,0.01747242,0.1006099],"study_design_scores_gemma":[0.0001956924,0.000059479,0.0008967941,0.00006853184,0.00001559527,0.000001080503,0.005405195,0.0005032607,0.000146971,0.01320644,0.979291,0.0002099408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2444779,0.000608367,0.0001938051,0.04724722,0.001861411,0.0002344126,0.00001752102,0.00005360322,0.7053058],"genre_scores_gemma":[0.8188875,0.0001976793,0.00007903855,0.0009401388,0.0001072125,0.000006512174,0.0000134881,0.0000110254,0.1797575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9618186,"threshold_uncertainty_score":0.9984178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161801986657609,"score_gpt":0.2804239457901845,"score_spread":0.2642437471244236,"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."}}