{"id":"W3047502659","doi":"10.4000/hommesmigrations.7883","title":"Marielle Macé, Sidérer, considérer. Migrants en France","year":2018,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Political 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0005515447,0.0005082103,0.0004690124,0.000150919,0.00187594,0.0003515767,0.00060106,0.0005591732,0.006319444],"category_scores_gemma":[0.0006504661,0.0005259147,0.0003084965,0.000723123,0.003922424,0.000867482,0.0001213624,0.0004201269,0.003947092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714288,"about_ca_system_score_gemma":0.00135516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02690461,"about_ca_topic_score_gemma":0.08929704,"domain_scores_codex":[0.9957393,0.000797071,0.0008019496,0.0007443413,0.0007243053,0.001192971],"domain_scores_gemma":[0.9970575,0.0006390085,0.0003071189,0.0007188783,0.0007805913,0.0004968993],"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":[0.000008953512,0.000302492,0.01228653,0.00003520343,0.0001334039,0.000009076293,0.1174318,0.00001957488,0.0004625481,0.05306555,0.8097279,0.006516997],"study_design_scores_gemma":[0.0005486526,0.00009080754,0.0205036,0.00009815147,0.0001570014,0.00001482186,0.02164171,0.0008745117,0.001011292,0.001311667,0.953131,0.0006168113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5604206,0.1074292,0.002086453,0.2596157,0.01426889,0.002427332,0.001564108,0.0006571707,0.05153053],"genre_scores_gemma":[0.5270751,0.001211417,0.002399646,0.01214645,0.003691884,0.00006327984,0.0001464957,0.00005594247,0.4532098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4016793,"threshold_uncertainty_score":0.9997193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363482822431622,"score_gpt":0.3739348607640021,"score_spread":0.3003000325396858,"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."}}