{"id":"W2951503336","doi":"10.4000/books.purh.3488","title":"Annexe 1 : Migrations forcées, migrations oubliées","year":2005,"lang":"fr","type":"book-chapter","venue":"Presses universitaires de Rouen et du Havre eBooks","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673857,0.000739531,0.0004607623,0.001457368,0.00381718,0.003422917,0.00061349,0.001175625,0.06818085],"category_scores_gemma":[0.001922956,0.00025704,0.000358092,0.002095105,0.00154327,0.002583608,0.002038999,0.002112718,0.01287368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660379,"about_ca_system_score_gemma":0.002028203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415513,"about_ca_topic_score_gemma":0.01924542,"domain_scores_codex":[0.9993889,0.000222294,0.00003752271,0.00008448893,0.0001833518,0.00008338444],"domain_scores_gemma":[0.9992805,0.0003575986,0.0000788263,0.00004198604,0.0001830483,0.00005792797],"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":[0.00008970049,0.0001027102,0.002589924,0.001387171,0.00001008129,0.0008419364,0.02397058,0.000456699,0.00103078,0.4421633,0.399822,0.1275351],"study_design_scores_gemma":[0.000001469992,0.00001352575,0.001466173,0.0005346285,0.000001082328,0.0001384119,0.00185111,0.00002045349,0.0001101353,0.004857203,0.9910004,0.000005468969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01108126,0.0526762,0.003444114,0.01286975,0.01183276,0.0005651855,0.00225844,0.0001186182,0.9051537],"genre_scores_gemma":[0.04117205,0.04703863,0.002441239,0.003066275,0.004187819,0.0006068284,0.001701923,0.0001846832,0.8996004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06818085,"threshold_uncertainty_score":0.2280877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07881123377082744,"score_gpt":0.3237862597620816,"score_spread":0.2449750259912541,"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."}}