{"id":"W7114773046","doi":"10.4000/15boc","title":"L’artisanat des données à l’ère de la datafication","year":2025,"lang":"fr","type":"article","venue":"Communication","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proposition; Work (physics); Context (archaeology); Perspective (graphical); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.06480915,0.001789796,0.001377185,0.009946951,0.007107528,0.02497671,0.004807808,0.00456739,0.01128052],"category_scores_gemma":[0.1281345,0.001500364,0.002964158,0.009235587,0.02158037,0.02860182,0.01849882,0.007976539,0.002938389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005864535,"about_ca_system_score_gemma":0.01321349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120459,"about_ca_topic_score_gemma":0.01002337,"domain_scores_codex":[0.9248861,0.03826879,0.005765185,0.007288976,0.02210134,0.001689476],"domain_scores_gemma":[0.8164286,0.1163301,0.005616617,0.04166536,0.01790529,0.002054102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001851383,0.00006970538,0.004080072,0.00197367,0.0001211809,0.0007206041,0.08585803,0.001330558,0.006386593,0.6630777,0.009210122,0.2269867],"study_design_scores_gemma":[0.00003810561,0.0001159003,0.003027687,0.002861169,0.0001128446,0.001384291,0.02328259,0.003360176,0.006643589,0.1927635,0.7662296,0.0001804343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02612212,0.006530053,0.7959852,0.02572267,0.001591264,0.001181436,0.001272914,0.001765553,0.1398288],"genre_scores_gemma":[0.2617535,0.007382331,0.6656178,0.00422754,0.001166379,0.001681277,0.001983605,0.001726193,0.05446143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06480915,"threshold_uncertainty_score":0.3427476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121299329814957,"score_gpt":0.4281716754605816,"score_spread":0.3160417424790859,"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."}}