{"id":"W4399183604","doi":"10.1515/9782760544185-fm","title":"Front Matter","year":2016,"lang":"fr","type":"paratext","venue":"Presses de l'Université du Québec eBooks","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec; Université du Québec à Montréal; Library and Archives Canada","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":[0.0008432688,0.0007932588,0.0006502278,0.00121306,0.002564427,0.006641811,0.001334075,0.005625313,0.8054366],"category_scores_gemma":[0.003838578,0.0002617168,0.0004693121,0.001006743,0.001669783,0.002413398,0.002508207,0.002031287,0.6594802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202647,"about_ca_system_score_gemma":0.004110702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00983963,"about_ca_topic_score_gemma":0.01570883,"domain_scores_codex":[0.999016,0.00009073997,0.00004584868,0.0002375276,0.0004426932,0.000167155],"domain_scores_gemma":[0.9978548,0.0003070321,0.0001446621,0.0002137714,0.000777091,0.0007025918],"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":[0.00005628181,0.00003387066,0.0007266728,0.0003679653,0.000008788679,0.0002545681,0.0001928295,0.00005554574,0.0005300667,0.01223403,0.8492492,0.1362901],"study_design_scores_gemma":[0.00000327504,0.000005337316,0.0004082342,0.0001101239,0.000001451531,0.0001088485,0.0000993541,0.0000199204,0.00005527452,0.0005405837,0.9986452,0.000002368711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001087807,0.005939586,0.0005453795,0.0156731,0.009000033,0.00004805708,0.001712616,0.0004993369,0.9654942],"genre_scores_gemma":[0.004272497,0.003082285,0.0002683366,0.00376746,0.001600419,0.00001956918,0.0006968383,0.0001498497,0.9861428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1945634,"threshold_uncertainty_score":0.277521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415076774321254,"score_gpt":0.2479657484200018,"score_spread":0.2338149806767893,"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."}}