{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424845,0.0003809782,0.0002769774,0.0008213929,0.009867813,0.005337291,0.0007179402,0.001440092,0.01582516],"category_scores_gemma":[0.002021109,0.000225598,0.0002369719,0.0009304751,0.008692681,0.002834373,0.002718583,0.002793359,0.002157622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01633252,"about_ca_system_score_gemma":0.01557668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4742704,"about_ca_topic_score_gemma":0.7605724,"domain_scores_codex":[0.9990863,0.0002072051,0.00001904245,0.0001561303,0.0002426917,0.0002886518],"domain_scores_gemma":[0.9992788,0.0001127222,0.00008378734,0.00008173862,0.0002501881,0.0001928082],"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":[0.0001334934,0.00005144907,0.009237494,0.0002265841,0.00002712875,0.0009050733,0.1906119,0.0004673933,0.003392143,0.6059305,0.07747607,0.1115408],"study_design_scores_gemma":[0.000005279711,0.00001986021,0.005174519,0.0001217966,0.000008588749,0.0001114325,0.0164561,0.0001293688,0.0005188857,0.01021044,0.9672238,0.00001984867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2093012,0.01239851,0.008284681,0.0714481,0.002072216,0.0001062537,0.0004819681,0.0002689575,0.6956381],"genre_scores_gemma":[0.5559676,0.003798691,0.002345735,0.00710426,0.0002577504,0.0000444203,0.0001653051,0.0002249241,0.4300913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4742704,"threshold_uncertainty_score":0.9430196,"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."}}