{"id":"W4392089759","doi":"10.51644/9780889208056-fm","title":"Front Matter","year":2006,"lang":"en","type":"paratext","venue":"","topic":"Literature: history, themes, analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ECW Press (Canada)","funders":"","keywords":"Front (military); Physics; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005616093,0.0003696163,0.0005100337,0.000255937,0.0002327756,0.0004975247,0.0003208603,0.0002065452,0.8447458],"category_scores_gemma":[0.000001327847,0.0002831815,0.0003525684,0.00001540744,0.0001740018,0.00013014,0.000046314,0.0003322055,0.4795966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306538,"about_ca_system_score_gemma":0.00004044294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044732,"about_ca_topic_score_gemma":0.003818886,"domain_scores_codex":[0.9986614,0.00004298873,0.0003565383,0.0004005059,0.0002483301,0.0002902617],"domain_scores_gemma":[0.9991103,0.00002090323,0.0001634398,0.0005301022,0.0001229157,0.00005235521],"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":[0.000003211808,0.00003381856,0.000002118547,0.00006141661,0.0001442492,0.000003449684,0.003508784,0.000002831987,0.000001046908,0.004258788,0.9919243,0.00005597229],"study_design_scores_gemma":[0.00008408359,0.00001052783,0.00000189633,0.00003414374,0.0001489103,7.332749e-7,0.0001394675,0.000005105298,0.000005179028,0.0001418988,0.9990224,0.0004056786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000102634,0.006368257,0.00005501902,0.000263713,0.004775241,0.0001077727,0.0003336819,0.00005048206,0.9880356],"genre_scores_gemma":[0.0004194154,0.00002329978,0.00006872983,0.003393487,0.006330859,0.00002557207,0.001666408,0.00007210956,0.9880001],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3651491,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329137060760623,"score_gpt":0.2002311203594125,"score_spread":0.1869397497518062,"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."}}