{"id":"W4234362196","doi":"10.4000/books.pum.2160","title":"Remerciements","year":2015,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Historical and Literary Studies","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":[],"consensus_categories":[],"category_scores_codex":[0.01303587,0.001228558,0.001482312,0.005390925,0.004370228,0.008192604,0.002365261,0.001862388,0.1613834],"category_scores_gemma":[0.08360996,0.0004165565,0.0009824098,0.003343814,0.00269146,0.0060673,0.007322335,0.005089469,0.08617484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01049399,"about_ca_system_score_gemma":0.01379874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195763,"about_ca_topic_score_gemma":0.02200658,"domain_scores_codex":[0.9793759,0.003292219,0.0009548623,0.0020098,0.01308669,0.001280496],"domain_scores_gemma":[0.9056411,0.00980471,0.00249277,0.009748046,0.06052196,0.01179129],"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":[0.00007014151,0.00003612677,0.0006201261,0.0002241066,0.00001614663,0.0003634864,0.005566806,0.000126714,0.000949666,0.03654961,0.897925,0.05755218],"study_design_scores_gemma":[0.000003439339,0.000008218467,0.0003299474,0.0001488714,0.000004603166,0.0001469656,0.0009535663,0.00003382772,0.0001621697,0.001757384,0.9964421,0.000008795166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01027856,0.02988912,0.0129404,0.2785158,0.2377672,0.0005704916,0.01411619,0.002263789,0.4136585],"genre_scores_gemma":[0.05021911,0.008389154,0.006818636,0.014384,0.02488949,0.0003912276,0.004380666,0.001952098,0.8885757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1613834,"threshold_uncertainty_score":0.5398811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854891460633342,"score_gpt":0.2149119673670475,"score_spread":0.1863630527607141,"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."}}