{"id":"W4284701593","doi":"10.47854/anthropen.v1i1.41073","title":"Villes interculturelles","year":2022,"lang":"fr","type":"article","venue":"Anthropen","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Locale (computer software); Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004336393,0.0001964977,0.0002222482,0.00004093069,0.001877091,0.0001517652,0.0006012594,0.00009035275,0.03151044],"category_scores_gemma":[0.00008950823,0.0001859634,0.0001484328,0.0002627538,0.001676346,0.0003681902,0.0004290793,0.0003059006,0.000735352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188512,"about_ca_system_score_gemma":0.0004469956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05671518,"about_ca_topic_score_gemma":0.0110401,"domain_scores_codex":[0.9975299,0.0007127967,0.0003148591,0.0003639692,0.0005409017,0.000537554],"domain_scores_gemma":[0.9992365,0.0000828646,0.0001409723,0.0002506916,0.0001270148,0.0001619113],"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":[0.000009906872,0.0002481204,0.001871342,0.0000216039,0.0001043189,0.00002567718,0.2233402,0.0001568491,0.0001812679,0.1819781,0.5867131,0.00534945],"study_design_scores_gemma":[0.0001706856,0.0000558304,0.001050579,0.00001487206,0.00003506119,0.0000112715,0.1940213,0.0001146614,0.0001506941,0.0001870427,0.8039532,0.000234798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4024678,0.02259725,0.00006707617,0.2842751,0.01584396,0.001308591,0.0004462726,0.0002075278,0.2727864],"genre_scores_gemma":[0.6763195,0.001489859,0.0001696655,0.01018421,0.0008834804,0.00004245724,0.00006205949,0.00002696667,0.3108218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740909,"threshold_uncertainty_score":0.9994223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609619424100173,"score_gpt":0.4329991968660655,"score_spread":0.2720372544560483,"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."}}