{"id":"W4312442302","doi":"10.51952/9781447339861.fm001","title":"Front Matter","year":2020,"lang":"en","type":"paratext","venue":"Policy Press eBooks","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Front (military); Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008299731,0.001050957,0.0009248389,0.001287901,0.001941741,0.01102051,0.001459006,0.004617918,0.8643085],"category_scores_gemma":[0.004229619,0.0003859887,0.000693782,0.001437099,0.001295911,0.005101343,0.003602307,0.002946329,0.8384098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642961,"about_ca_system_score_gemma":0.00196014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483722,"about_ca_topic_score_gemma":0.003036149,"domain_scores_codex":[0.9986929,0.0001217861,0.00006560727,0.0003409399,0.0006295074,0.0001492658],"domain_scores_gemma":[0.9980938,0.0003376488,0.0000979024,0.0003127849,0.0006499704,0.0005078685],"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":[0.00002688466,0.00002526876,0.0001869143,0.0001996193,0.000003178044,0.00007949991,0.00007940057,0.00005593986,0.0003587214,0.01109302,0.863413,0.1244787],"study_design_scores_gemma":[0.000001479734,0.000003613015,0.00008263058,0.00004921263,4.518111e-7,0.00003409058,0.00003465547,0.00001731993,0.00004015208,0.0006194144,0.9991154,0.000001540987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002633878,0.00130436,0.0006342802,0.003738722,0.0045791,0.00004115401,0.000879993,0.0006924288,0.9878665],"genre_scores_gemma":[0.0007260207,0.0008067858,0.0002396171,0.001363282,0.0004271276,0.00001746371,0.0005362055,0.0002270684,0.9956564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1356915,"threshold_uncertainty_score":0.1935474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079099862697277,"score_gpt":0.292095556004096,"score_spread":0.1841855697343682,"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."}}