{"id":"W1694343776","doi":"10.4000/hommesmigrations.1868","title":"Les points aveugles","year":2012,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Optometry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007449674,0.000188818,0.0002223614,0.0001191136,0.002047112,0.0001710913,0.0002236061,0.0002337173,0.004425173],"category_scores_gemma":[0.0001719135,0.0002055621,0.0001628751,0.0005342134,0.0004314488,0.001115052,0.0000389111,0.0002233021,0.001951076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243234,"about_ca_system_score_gemma":0.0002623548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03590413,"about_ca_topic_score_gemma":0.1769935,"domain_scores_codex":[0.9979037,0.0003646091,0.0003907306,0.0002157795,0.0003954538,0.0007297339],"domain_scores_gemma":[0.9988437,0.0001699818,0.0001619554,0.0002637703,0.0001542708,0.0004062906],"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":[0.00000226533,0.0003710228,0.1618425,0.00005135874,0.00002622265,5.055944e-7,0.06162781,0.000002464231,0.00001579315,0.3201832,0.4401866,0.01569023],"study_design_scores_gemma":[0.0001242655,0.00002813494,0.16886,0.00004478136,0.00008536166,0.000003388617,0.01225549,0.00003436316,0.00002898155,0.009491079,0.8088217,0.0002224805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4741493,0.4070415,0.002043396,0.05802032,0.00681779,0.0006398494,0.0001700299,0.0001968201,0.05092096],"genre_scores_gemma":[0.897087,0.008634487,0.001158049,0.0008696009,0.003405829,0.00003282247,0.00006489753,0.00002039575,0.08872689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4229377,"threshold_uncertainty_score":0.9992521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0599203734644868,"score_gpt":0.3557098688685542,"score_spread":0.2957894954040673,"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."}}