{"id":"W7128734481","doi":"10.3917/mult.101.0110","title":"Désinstaller, déstabiliser, désétablir","year":2025,"lang":"fr","type":"article","venue":"Multitudes","topic":"Legal and cultural studies analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Ethnography; Forensic genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003142498,0.0002442473,0.000373869,0.00006526899,0.00126422,0.0001910965,0.0004035447,0.0001931091,0.003402651],"category_scores_gemma":[0.000179852,0.0002043493,0.0003312105,0.001378009,0.0009174727,0.0003733548,0.0002178021,0.0002224953,0.0005177209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013882,"about_ca_system_score_gemma":0.0001341494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02421639,"about_ca_topic_score_gemma":0.03293364,"domain_scores_codex":[0.99813,0.0001869664,0.0003247095,0.0004147158,0.0003550182,0.0005886031],"domain_scores_gemma":[0.999225,0.0001281139,0.0000780279,0.0002248669,0.0002157822,0.0001281878],"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":[0.00004039058,0.0009571064,0.01668696,0.0002920908,0.001470657,0.00002663983,0.01752771,0.0003261788,0.0004035559,0.4235058,0.1231121,0.4156508],"study_design_scores_gemma":[0.000329337,0.00001890425,0.005677852,0.0001243264,0.0002022455,2.116819e-7,0.007808174,0.0001886659,0.00007850971,0.001684438,0.9836401,0.0002472885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0705232,0.1221452,0.0002481345,0.09913328,0.005302631,0.0004110186,0.00003448936,0.0001808335,0.7020212],"genre_scores_gemma":[0.6160722,0.009177811,0.0004224018,0.001097189,0.0003943248,0.00002218679,0.000004910372,0.000007365281,0.3728016],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8605279,"threshold_uncertainty_score":0.9975083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732392759626671,"score_gpt":0.3348900621907263,"score_spread":0.3175661345944596,"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."}}