{"id":"W4232148899","doi":"10.4000/hommesmigrations.7854","title":"Neuilly sa mère, sa mère !","year":2018,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Social Policies and Family","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Environmental 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":["insufficient_payload"],"category_scores_codex":[0.0002830254,0.0002419044,0.0002740307,0.00007923717,0.00211664,0.0002486073,0.0004215903,0.0003292686,0.001897292],"category_scores_gemma":[0.0002240202,0.0002587078,0.0002505902,0.001089549,0.001856322,0.0004029933,0.00008880652,0.0002382629,0.002647087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686604,"about_ca_system_score_gemma":0.0003997172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04126208,"about_ca_topic_score_gemma":0.0806558,"domain_scores_codex":[0.9978819,0.0002430717,0.0003677368,0.0003361068,0.0004109227,0.0007602108],"domain_scores_gemma":[0.9987019,0.0002374891,0.0001531685,0.0003543907,0.0002666653,0.0002863371],"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":[0.000003866638,0.0001228676,0.002433087,0.000007043473,0.00004041622,0.000002333527,0.03662994,0.000002485391,0.00008723778,0.1095103,0.7998307,0.05132972],"study_design_scores_gemma":[0.0001839173,0.0001276881,0.034352,0.00003801317,0.00008040769,0.000001769507,0.02008233,0.00009627804,0.00003449705,0.01064104,0.9340702,0.0002918099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3570908,0.1256347,0.0006042697,0.2091719,0.01357856,0.0009664484,0.0005905336,0.0004093789,0.2919534],"genre_scores_gemma":[0.8438262,0.002622087,0.0005282216,0.01072542,0.009608697,0.00003810051,0.00003965302,0.00003775303,0.1325738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4867354,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919338863365758,"score_gpt":0.3118935530120346,"score_spread":0.2827001643783771,"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."}}