{"id":"W4366697466","doi":"10.4000/hommesmigrations.15146","title":"Neneh Superstar","year":2023,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Superstar; Business; Advertising","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002318629,0.0001244922,0.0001510788,0.00003752661,0.001708272,0.00009071975,0.0001574274,0.000123328,0.0008223979],"category_scores_gemma":[0.0004391898,0.0001183996,0.0001434335,0.0008669882,0.0005976837,0.0001407936,0.00005866686,0.0001260851,0.003246259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009857125,"about_ca_system_score_gemma":0.0001023086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008509512,"about_ca_topic_score_gemma":0.009802954,"domain_scores_codex":[0.9988164,0.0001257717,0.0001826569,0.0001908879,0.0002568813,0.0004273744],"domain_scores_gemma":[0.9993586,0.0002461813,0.00003994703,0.0001177796,0.0001198915,0.0001176118],"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":[7.753798e-7,0.00003071383,0.002572916,0.000009345217,0.00005529823,0.000008902705,0.09359936,0.00001592837,0.000008666158,0.134708,0.7576668,0.0113233],"study_design_scores_gemma":[0.00008216455,0.00001958457,0.005342969,0.00002376575,0.00005461961,3.667066e-7,0.07463675,0.00007127752,0.000007764941,0.006469915,0.9131412,0.0001496162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3948988,0.2255568,0.000130037,0.2364555,0.01013506,0.0005054366,0.0003061265,0.0007612812,0.1312509],"genre_scores_gemma":[0.5970825,0.007543325,0.000176465,0.0005238061,0.001865979,0.00002878144,0.00005493792,0.00001097783,0.3927132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2614623,"threshold_uncertainty_score":0.9995914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229353956627079,"score_gpt":0.3213285721415315,"score_spread":0.2690350325752607,"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."}}