{"id":"W4394889287","doi":"10.1515/9782760644656-fm","title":"Front Matter","year":2022,"lang":"fr","type":"paratext","venue":"Les Presses de l'Université de Montréal eBooks","topic":"African Studies and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Bibliothèque et Archives nationales du Québec","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000594189,0.001065897,0.0007990558,0.001397957,0.002806051,0.008947396,0.001495916,0.00685095,0.8807487],"category_scores_gemma":[0.002828849,0.0003477416,0.0005777486,0.001161933,0.001669231,0.003139976,0.003074602,0.002344589,0.8045399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712435,"about_ca_system_score_gemma":0.002505636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694975,"about_ca_topic_score_gemma":0.005996682,"domain_scores_codex":[0.9991519,0.00007630459,0.00004003449,0.0002519722,0.0003439913,0.0001357762],"domain_scores_gemma":[0.9985892,0.0002161493,0.00009128261,0.0002082171,0.0004467476,0.0004482811],"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":[0.00008758069,0.00005535769,0.0009095398,0.0004714909,0.00001266278,0.0004444634,0.0002950357,0.00008904486,0.001021319,0.0219561,0.7854137,0.1892437],"study_design_scores_gemma":[0.000005175794,0.000007153782,0.0003719765,0.0001062976,0.000001615949,0.000140243,0.0001378297,0.00003432051,0.00009980662,0.001100172,0.9979923,0.0000029978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008154881,0.002463931,0.0005589036,0.007296519,0.003609747,0.00004574358,0.001485879,0.0006072337,0.9831166],"genre_scores_gemma":[0.004073862,0.001471952,0.000332411,0.001936522,0.0006864798,0.0000250019,0.0007676665,0.0002003989,0.9905056],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1192513,"threshold_uncertainty_score":0.1700974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247092499945712,"score_gpt":0.212197246681542,"score_spread":0.1997263216820849,"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."}}