{"id":"W4205656572","doi":"10.4000/books.pum.21166","title":"Bibliographie","year":2003,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001873901,0.002045766,0.00368466,0.05385811,0.00259126,0.008403043,0.002550454,0.001845202,0.5996935],"category_scores_gemma":[0.0150587,0.0009744662,0.001172739,0.0804382,0.0012274,0.003737861,0.002945194,0.00261905,0.2726668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008460631,"about_ca_system_score_gemma":0.01034249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0521016,"about_ca_topic_score_gemma":0.04081155,"domain_scores_codex":[0.9955932,0.0004802339,0.001026295,0.0006045752,0.001960164,0.000335495],"domain_scores_gemma":[0.9914317,0.00195747,0.0007287515,0.0006272886,0.004971448,0.0002833047],"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":[0.00006051818,0.00002380732,0.0001850804,0.007221071,0.00003103017,0.0001087477,0.0002268366,0.00008995675,0.0001291486,0.003049433,0.939705,0.0491694],"study_design_scores_gemma":[0.000008864975,0.000005962298,0.0006539379,0.002364521,0.00001447236,0.00006135855,0.0001075432,0.00001335165,0.0000452123,0.0003432414,0.9963726,0.000008984377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001130417,0.07054956,0.001303469,0.005522659,0.009647937,0.0008595124,0.5304555,0.001860191,0.3786707],"genre_scores_gemma":[0.01077629,0.1369122,0.004233947,0.00323624,0.003424759,0.002826867,0.5029861,0.002063026,0.3335405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4003065,"threshold_uncertainty_score":0.5709885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900497583608744,"score_gpt":0.2664992803022316,"score_spread":0.2174943044661442,"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."}}