{"id":"W4255259936","doi":"10.7202/1033537ar","title":"Éditorial","year":2010,"lang":"fr","type":"article","venue":"Muséologies Les cahiers d études supérieures","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0007650921,0.0005953912,0.0005407656,0.0001488148,0.001539952,0.0004362562,0.001160893,0.001632533,0.002036657],"category_scores_gemma":[0.002768889,0.0005583412,0.0003662532,0.0003684501,0.01163216,0.0007169955,0.0001904509,0.001650163,0.0003666941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043606,"about_ca_system_score_gemma":0.001136723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01373984,"about_ca_topic_score_gemma":0.02922273,"domain_scores_codex":[0.9956388,0.0005962456,0.0006623356,0.0007996567,0.0008700012,0.001432896],"domain_scores_gemma":[0.9971898,0.0009374788,0.0002956889,0.000686044,0.0004502776,0.0004407051],"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":[0.00003651163,0.0001745898,0.006402735,0.00007126403,0.0001683878,0.00004167142,0.06714427,0.00007402279,0.003318544,0.7704045,0.1484436,0.003719867],"study_design_scores_gemma":[0.0004618168,0.00009590883,0.01083115,0.00002030402,0.0001165102,0.00001499848,0.05224797,0.00003792713,0.0009877795,0.001035454,0.9334801,0.0006700599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244739,0.001382086,0.00005363934,0.02882329,0.06600852,0.0005936429,0.0001482096,0.0005265439,0.07799024],"genre_scores_gemma":[0.930738,0.0007227801,0.002273718,0.003507415,0.01841632,0.00004639668,0.00006486378,0.00006886216,0.04416169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7850365,"threshold_uncertainty_score":0.9997599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084505136823814,"score_gpt":0.3780535500694147,"score_spread":0.2696030363870332,"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."}}