{"id":"W4238740388","doi":"10.4000/communication.11891","title":"Daniela ROVENȚA-FRUMUȘANI et Catherine GHOSN (dir.) (2018), « Minorities and social networks / Minorités et réseaux sociaux »","year":2020,"lang":"fr","type":"article","venue":"Communication","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology","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"],"consensus_categories":[],"category_scores_codex":[0.0003983972,0.0002720065,0.0003472196,0.00004496625,0.0012479,0.0006406785,0.0005698843,0.0002086872,0.0007110074],"category_scores_gemma":[0.0006579433,0.0003276631,0.0001394915,0.00005464687,0.0008047135,0.0004325788,0.0007923531,0.0005847676,0.00008285783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004817,"about_ca_system_score_gemma":0.00008263126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127578,"about_ca_topic_score_gemma":0.009633559,"domain_scores_codex":[0.9983715,0.0004428464,0.0003488777,0.0002923413,0.0002131362,0.0003313288],"domain_scores_gemma":[0.9983367,0.0001959297,0.0002313596,0.000440021,0.0006757558,0.0001202459],"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":[0.00006329325,0.0003369463,0.005727884,0.00048928,0.000239523,0.00001073017,0.3239258,0.0000372416,0.000003796323,0.2619995,0.4027162,0.004449763],"study_design_scores_gemma":[0.001003442,0.0001586593,0.005080259,0.0001192384,0.0003738668,0.000001373629,0.1081347,0.004102702,0.000008515053,0.00399794,0.8763503,0.0006689786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3320142,0.518769,0.0009587164,0.07450213,0.01910444,0.001263158,0.001668643,0.0005721552,0.05114757],"genre_scores_gemma":[0.9511307,0.01734792,0.0004100992,0.005849887,0.01114025,0.00001235731,0.0006332641,0.00005544848,0.01342001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6191166,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06180579755403318,"score_gpt":0.2832755143112045,"score_spread":0.2214697167571713,"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."}}