{"id":"W4205862919","doi":"10.1353/wlt.2016.0036","title":"Tout ce qu'on ne te dira pas, Mongo by Dany Laferrière","year":2016,"lang":"fr","type":"article","venue":"World Literature Today","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Fyodor; Art; History; Law; Genealogy; Literature; Sociology; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.0006492386,0.0006529381,0.0003608251,0.0004993187,0.008678849,0.004847155,0.0005018139,0.001729715,0.06377205],"category_scores_gemma":[0.002068269,0.0002111678,0.0003019313,0.0002661394,0.002437182,0.002819426,0.002747451,0.003893861,0.01728999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003346972,"about_ca_system_score_gemma":0.002060855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03049162,"about_ca_topic_score_gemma":0.0513015,"domain_scores_codex":[0.9994992,0.0001673241,0.00001160093,0.0001012889,0.0001137159,0.0001069249],"domain_scores_gemma":[0.9994376,0.0001117592,0.0000606027,0.00005003188,0.0001818108,0.0001580992],"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":[0.000087475,0.00003506812,0.001675495,0.0001784374,0.00001288476,0.0006038867,0.02142302,0.00009069637,0.0008728747,0.05989989,0.849783,0.06533729],"study_design_scores_gemma":[0.000001390774,0.000006362509,0.0004847616,0.00006318763,0.000001018415,0.0001542338,0.003612366,0.00002409446,0.00008301067,0.000443054,0.9951227,0.000003873592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02286982,0.05649522,0.001925296,0.1265659,0.02814037,0.00008495081,0.0006566691,0.0006540673,0.7626078],"genre_scores_gemma":[0.09651285,0.006593897,0.001069341,0.01466255,0.001492542,0.00003790369,0.0002261476,0.0003467556,0.879058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06377205,"threshold_uncertainty_score":0.2133388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578449679753969,"score_gpt":0.2788952524359199,"score_spread":0.2631107556383803,"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."}}