{"id":"W3109056098","doi":"10.4000/hommesmigrations.11987","title":"The Perfect Candidate","year":2020,"lang":"en","type":"article","venue":"Hommes & migrations","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164063,0.0005392935,0.0004610351,0.0007847168,0.007318277,0.008015955,0.0008215135,0.0026391,0.2737724],"category_scores_gemma":[0.004934947,0.0002796809,0.0003494929,0.0005473322,0.002466366,0.004705042,0.005351352,0.003486877,0.07853589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863036,"about_ca_system_score_gemma":0.003176084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486765,"about_ca_topic_score_gemma":0.007934289,"domain_scores_codex":[0.9985082,0.0003493564,0.0000400957,0.0002515732,0.0003791591,0.0004716431],"domain_scores_gemma":[0.9979531,0.0001589631,0.00006854527,0.0001783297,0.0004471632,0.001193865],"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":[0.00003618484,0.00002781955,0.0004482314,0.00004550788,0.000002835348,0.0002202766,0.001348175,0.00003146451,0.000176338,0.1239131,0.8396333,0.03411685],"study_design_scores_gemma":[0.000002369775,0.00001039043,0.0001891235,0.00003778778,6.975782e-7,0.0001048311,0.000884432,0.0000171378,0.00003467083,0.002772282,0.9959431,0.000003192054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004821165,0.003247717,0.001707704,0.08947546,0.02161621,0.00006227002,0.0003730439,0.0002139651,0.8784825],"genre_scores_gemma":[0.02557634,0.0009832795,0.0005720321,0.008533644,0.001423858,0.00003367867,0.0001165024,0.0001274028,0.9626333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2737724,"threshold_uncertainty_score":0.91586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469388675888194,"score_gpt":0.2917682336214175,"score_spread":0.2670743468625355,"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."}}