{"id":"W4246042676","doi":"10.1051/jbio/2010002","title":"Éditorial","year":2010,"lang":"fr","type":"article","venue":"Biologie Aujourd hui","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007547083,0.0002658069,0.0002665592,0.00004755599,0.0005603574,0.0001591619,0.000580113,0.0008372731,0.002667905],"category_scores_gemma":[0.001515438,0.0002235565,0.0001882557,0.0001729123,0.002159729,0.0003076754,0.0001066221,0.0005994677,0.001994547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067015,"about_ca_system_score_gemma":0.000988716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036741,"about_ca_topic_score_gemma":0.01006484,"domain_scores_codex":[0.9976183,0.000350515,0.0003936933,0.0004285053,0.0003341148,0.0008749131],"domain_scores_gemma":[0.9984806,0.0003295932,0.0001985835,0.0003751959,0.0003027643,0.0003132682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002446632,0.0002356659,0.02618917,0.00002551801,0.00009435388,0.0000173924,0.03173032,0.000007207263,0.01593092,0.1856199,0.7223154,0.01780969],"study_design_scores_gemma":[0.000281604,0.00005976844,0.01376314,0.00001037401,0.0000349633,0.000004221928,0.005073806,0.00002303092,0.001110235,0.001187475,0.978119,0.0003323715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937343,0.0008332452,0.00003484751,0.05057861,0.1406876,0.0003590387,0.0001047917,0.0002039013,0.01346368],"genre_scores_gemma":[0.7603424,0.000608683,0.001416306,0.003670114,0.07558234,0.00001921819,0.00005639314,0.00003034536,0.1582742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2558036,"threshold_uncertainty_score":0.9987825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2015112658013407,"score_gpt":0.4377466336286417,"score_spread":0.236235367827301,"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."}}