{"id":"W3038500893","doi":"10.71781/21398","title":"Le travail de l’Intelligence artificielle : rapport au travail et coup d’œil sociodémographique","year":2019,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002544148,0.0002298036,0.0002695524,0.002096593,0.007751091,0.006182214,0.0009777173,0.000810604,0.01764088],"category_scores_gemma":[0.005563893,0.0002828484,0.0002847076,0.003354524,0.00482283,0.0028805,0.002285732,0.001342252,0.00105962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02384392,"about_ca_system_score_gemma":0.01943183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8534932,"about_ca_topic_score_gemma":0.9025075,"domain_scores_codex":[0.9979381,0.0005730853,0.00006379752,0.0003412238,0.0006422127,0.00044162],"domain_scores_gemma":[0.9945597,0.001667351,0.0006921298,0.000311484,0.001997495,0.0007718328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001561898,0.000126673,0.3235541,0.0003165563,0.00007192928,0.0009733182,0.4731801,0.001032762,0.002021624,0.08275978,0.01663658,0.09917044],"study_design_scores_gemma":[0.000007960933,0.00009048651,0.4253023,0.0003422841,0.00002827353,0.0002291773,0.3764516,0.0008796711,0.00073506,0.003188921,0.1926316,0.0001126805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835595,0.001750111,0.00315489,0.008330244,0.00006657451,0.0001216112,0.001402365,0.0000669865,0.1015477],"genre_scores_gemma":[0.9546998,0.0009441202,0.001211655,0.0004024905,0.00001545715,0.00006308855,0.0003157573,0.00002989081,0.04231776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8534932,"threshold_uncertainty_score":0.2947392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036934206182815,"score_gpt":0.328195350295937,"score_spread":0.291261144113122,"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."}}