{"id":"W4391687587","doi":"10.51644/9781771120487-fm","title":"Front Matter","year":2015,"lang":"en","type":"paratext","venue":"","topic":"Comparative and World Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Wilfrid Laurier University; University of Toronto","funders":"Federation for the Humanities and Social Sciences; Social Sciences and Humanities Research Council of Canada; Government of Canada; Wilfrid Laurier University","keywords":"Front (military); Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007741407,0.0007363955,0.0005115931,0.001942651,0.004950376,0.009839612,0.001313853,0.003496916,0.8509015],"category_scores_gemma":[0.004385163,0.0002500515,0.0003186165,0.002271429,0.002363736,0.002806735,0.003032558,0.001680183,0.6579712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006666162,"about_ca_system_score_gemma":0.01071297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1109805,"about_ca_topic_score_gemma":0.2389485,"domain_scores_codex":[0.9987696,0.00007330235,0.00004094042,0.0002121124,0.0006963343,0.0002077588],"domain_scores_gemma":[0.9974169,0.0002737919,0.00007485232,0.000272929,0.001149255,0.0008122186],"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":[0.00002183298,0.00001376853,0.0004151077,0.0002297946,0.000003231458,0.0001528062,0.0004811753,0.00004165238,0.0003873454,0.02501652,0.8504755,0.1227612],"study_design_scores_gemma":[9.670229e-7,0.000001321297,0.0002955263,0.00006913869,5.120776e-7,0.00002975456,0.000186392,0.00001299476,0.00003610046,0.0005234199,0.9988422,0.00000177121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003703897,0.0007310902,0.0001833032,0.003245606,0.001249877,0.00002159087,0.0009052373,0.0002547934,0.9930381],"genre_scores_gemma":[0.002430861,0.0006817778,0.0001737813,0.0009987267,0.0001618915,0.000009416288,0.0004228304,0.0001271995,0.9949935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1490985,"threshold_uncertainty_score":0.2206691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607786184817298,"score_gpt":0.2644873967574731,"score_spread":0.2184095349093002,"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."}}