{"id":"W4399159645","doi":"10.1515/9782760557208-fm","title":"Front Matter","year":2022,"lang":"fr","type":"paratext","venue":"Presses de l'Université du Québec eBooks","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","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":[0.0006908828,0.001388796,0.0009385679,0.001605006,0.003188642,0.008339283,0.00173658,0.006496442,0.897375],"category_scores_gemma":[0.002579563,0.0003976804,0.0005932251,0.00138388,0.00162432,0.002857708,0.002822617,0.001943407,0.8239256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003500285,"about_ca_system_score_gemma":0.004371786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409604,"about_ca_topic_score_gemma":0.04187201,"domain_scores_codex":[0.9990971,0.00005537495,0.00003868848,0.0002613116,0.0003755938,0.0001718464],"domain_scores_gemma":[0.9978514,0.0002305167,0.0001057394,0.0002673199,0.0008576838,0.0006874308],"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":[0.00007921704,0.00005424238,0.001122872,0.0004029522,0.00001157195,0.0004238422,0.0002425586,0.0001173827,0.001370065,0.01036919,0.7723152,0.2134909],"study_design_scores_gemma":[0.000004959964,0.000007466188,0.000643859,0.00009547894,0.000002179309,0.0001448095,0.000123334,0.00005250663,0.0001195768,0.0005163266,0.9982852,0.00000433345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001131495,0.00265802,0.000760305,0.006473853,0.002328875,0.00006519027,0.001921997,0.001063223,0.983597],"genre_scores_gemma":[0.002845456,0.001164177,0.0002557655,0.001104576,0.0002236535,0.00001698442,0.0007402453,0.0001709437,0.9934783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.102625,"threshold_uncertainty_score":0.146382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357318366094859,"score_gpt":0.2189880584290222,"score_spread":0.1654148747680736,"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."}}