{"id":"W4382460457","doi":"10.1515/9780773550650-fm","title":"Front Matter","year":2017,"lang":"en","type":"paratext","venue":"McGill-Queen's University Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill-Queen's University Press","funders":"Canada Council for the Arts; Government of Canada","keywords":"Front (military); Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00051467,0.001030915,0.0005464085,0.0007159444,0.003056491,0.006921633,0.0009338738,0.003538404,0.9027674],"category_scores_gemma":[0.001750292,0.0003288911,0.0003449178,0.0009406538,0.001788172,0.002391064,0.003409227,0.002211132,0.7850549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898508,"about_ca_system_score_gemma":0.003704214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00980608,"about_ca_topic_score_gemma":0.02336231,"domain_scores_codex":[0.9995638,0.00005298375,0.0000116274,0.00008582822,0.0001510242,0.0001348205],"domain_scores_gemma":[0.9991417,0.0001188161,0.00004085721,0.00007562082,0.0002035809,0.0004194549],"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":[0.00002567466,0.00001649161,0.0001231903,0.00009532928,0.000001497895,0.00007265367,0.0001178315,0.00002270254,0.0001796024,0.008168172,0.9456038,0.04557316],"study_design_scores_gemma":[0.000002356628,0.000003854168,0.0001442347,0.00004325239,4.133904e-7,0.00001498982,0.0001498697,0.000006731212,0.00002764541,0.0003870041,0.9992183,0.000001348964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003155129,0.000828317,0.00007218008,0.003661673,0.00248529,0.00001690601,0.0005741889,0.0001714199,0.9918745],"genre_scores_gemma":[0.0008514604,0.0002258539,0.00002019067,0.0004557448,0.0001005849,0.000005913979,0.00007965021,0.00004500288,0.9982157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09723258,"threshold_uncertainty_score":0.1386904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921131860021312,"score_gpt":0.2337665360804816,"score_spread":0.2145552174802685,"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."}}