{"id":"W4396756781","doi":"10.1515/9782760638150-fm","title":"Front Matter","year":2017,"lang":"fr","type":"paratext","venue":"Les Presses de l'Université de Montréal eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bibliothèque et Archives nationales du Québec; Université de Montréal","funders":"","keywords":"Front (military); Geology; Oceanography","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":[0.0004887613,0.001393777,0.0007287738,0.00169487,0.001967878,0.007230351,0.001065498,0.003586541,0.9556398],"category_scores_gemma":[0.001947404,0.0004157278,0.0005676296,0.001114522,0.001161899,0.002242172,0.002473224,0.001477525,0.9441907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090614,"about_ca_system_score_gemma":0.001898735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115838,"about_ca_topic_score_gemma":0.005940112,"domain_scores_codex":[0.9995658,0.00003346095,0.00001643537,0.0001178292,0.0001660066,0.0001005055],"domain_scores_gemma":[0.9988926,0.0001745082,0.0000619751,0.0001158603,0.0003202943,0.0004347834],"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":[0.00007091611,0.00006374958,0.0003296923,0.0001949883,0.000007585197,0.0001843899,0.00009449293,0.0000683366,0.000812481,0.005040185,0.8372617,0.1558714],"study_design_scores_gemma":[0.00001128192,0.00001308881,0.0003869079,0.00009149262,0.00000251867,0.00007723483,0.00008071208,0.00003367251,0.0001408782,0.0005230083,0.9986356,0.000003677362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005347329,0.0005061738,0.0002694472,0.001644146,0.002015414,0.00003638468,0.001643651,0.0006490768,0.9927009],"genre_scores_gemma":[0.0009459655,0.0001899708,0.00008167792,0.0002766213,0.0001502824,0.000009658771,0.0003308461,0.00008260786,0.9979323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04436022,"threshold_uncertainty_score":0.0632745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115561494537617,"score_gpt":0.2027388468906488,"score_spread":0.1915832319452726,"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."}}