{"id":"W3015602899","doi":"10.3917/mult.078.0051","title":"Pour une culture critique de l’IA","year":2020,"lang":"fr","type":"article","venue":"Multitudes","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Humanities; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00006558523,0.000257868,0.0002312653,0.00001777674,0.0001559983,0.001484831,0.0005318842,0.0001661624,0.0001513277],"category_scores_gemma":[0.0003171591,0.0001980788,0.0001419844,0.0003795425,0.0001302485,0.002051241,0.000255672,0.0002837131,0.000684166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000763533,"about_ca_system_score_gemma":0.0001704987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890134,"about_ca_topic_score_gemma":0.0003072596,"domain_scores_codex":[0.9985794,0.00006543086,0.0002200926,0.0004150964,0.0002085673,0.0005114158],"domain_scores_gemma":[0.9988791,0.00005902757,0.00005989204,0.0002253286,0.0001812498,0.0005953855],"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":[0.00002120425,0.0003821604,0.0005459528,0.0002686172,0.00008846408,0.001101299,0.03884425,0.0006599325,0.02758566,0.5826479,0.3205225,0.02733215],"study_design_scores_gemma":[0.0008572246,0.0003495383,0.007395378,0.0002806462,0.00003668368,0.0002452146,0.0005010227,0.04527836,0.01497396,0.01468581,0.9146895,0.0007066568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02032677,0.02314433,0.1778204,0.4596814,0.001797428,0.0005491299,0.00009342944,0.0006844025,0.3159027],"genre_scores_gemma":[0.9236053,0.0003559732,0.02399006,0.02088485,0.0009092147,0.00000546564,0.000006910922,0.00001831016,0.03022389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9032785,"threshold_uncertainty_score":0.9995517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2833634954960667,"score_gpt":0.3724208143763056,"score_spread":0.08905731888023893,"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."}}