{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004435359,0.0008992408,0.0005658749,0.001276822,0.01079103,0.008791421,0.001360517,0.007342312,0.01102059],"category_scores_gemma":[0.01282776,0.0002953719,0.0005372288,0.001490387,0.01561869,0.008837246,0.005713571,0.01394103,0.002371586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004594474,"about_ca_system_score_gemma":0.003281451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676677,"about_ca_topic_score_gemma":0.03076043,"domain_scores_codex":[0.9949191,0.002983503,0.0001157146,0.0007490544,0.0007293578,0.0005031175],"domain_scores_gemma":[0.9950849,0.002744634,0.0004920531,0.0003447416,0.0008324678,0.00050106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001087383,0.00003749126,0.003013867,0.0004469437,0.00003573564,0.001889232,0.1941807,0.0001148073,0.0006364932,0.5798129,0.1752928,0.04443026],"study_design_scores_gemma":[0.000007622199,0.00002499414,0.002157349,0.0008907865,0.00001405568,0.001228157,0.1134329,0.0000734491,0.0005408979,0.05741456,0.8241663,0.00004886698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03197701,0.05116566,0.008117297,0.7382607,0.01817416,0.00004228596,0.0003198521,0.0001076415,0.1518354],"genre_scores_gemma":[0.5925533,0.05692449,0.007784628,0.1511243,0.01190284,0.0001878907,0.000272948,0.0003338728,0.1789157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01676677,"threshold_uncertainty_score":0.03686756,"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."}}