{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006444416,0.001461386,0.001026138,0.001928727,0.003139439,0.009853298,0.001847805,0.007063654,0.8910888],"category_scores_gemma":[0.002834537,0.0004991728,0.0008372056,0.001266922,0.001378065,0.004473648,0.004493623,0.002878766,0.844303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878855,"about_ca_system_score_gemma":0.002092597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173189,"about_ca_topic_score_gemma":0.003376271,"domain_scores_codex":[0.9988397,0.00009574539,0.00006028764,0.0003882954,0.0004264801,0.0001895815],"domain_scores_gemma":[0.9985716,0.0002130208,0.00009287236,0.0002348142,0.0004163745,0.0004712729],"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":[0.0001008863,0.00007935186,0.0007794834,0.000508293,0.000014294,0.0004701534,0.0002030604,0.0001282519,0.001346484,0.01721705,0.7853279,0.1938249],"study_design_scores_gemma":[0.000008532411,0.00001074905,0.0003232219,0.0001354327,0.000002537133,0.0001828776,0.0001123197,0.00007398273,0.0001887767,0.001353154,0.9976034,0.000005145974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009368731,0.002358042,0.0008471163,0.005316738,0.003267426,0.00008520469,0.002055469,0.001159673,0.9839734],"genre_scores_gemma":[0.003611019,0.001446405,0.0004505504,0.002134838,0.000593462,0.00003639273,0.001271521,0.0003652404,0.9900906],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1089112,"threshold_uncertainty_score":0.1553485,"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."}}