{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001467347,0.0003297895,0.0007537415,0.0002433982,0.0001431984,0.0002415024,0.0006648712,0.0003458059,0.007706076],"category_scores_gemma":[0.00006462587,0.0004059149,0.0002303411,0.00002750973,0.00006647972,0.0000619107,0.0003815893,0.0005904744,0.1456358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253747,"about_ca_system_score_gemma":0.0001506246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126525,"about_ca_topic_score_gemma":0.00003946734,"domain_scores_codex":[0.9985337,0.00003525338,0.0005861653,0.0003492361,0.00005646591,0.0004391687],"domain_scores_gemma":[0.9989727,0.00003979886,0.0003844263,0.0003974441,0.00002821335,0.0001774524],"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":[0.000007405471,0.00001314435,0.00007339565,0.00008508036,0.0001306168,0.000001131595,0.002856397,0.000001468143,7.881996e-7,0.01640643,0.9800208,0.0004033813],"study_design_scores_gemma":[0.0002043279,0.00001420667,0.0003620934,0.00002792307,0.000005156143,8.522237e-7,0.00000903023,0.0000130873,0.00002730107,0.00650487,0.992386,0.000445108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007594001,0.001785322,0.00009100267,0.000822821,0.0008612877,0.0002549947,0.001061082,0.00003818038,0.9950094],"genre_scores_gemma":[0.008483795,0.0003466495,0.0001080858,0.00510715,0.001750598,0.00006112119,0.0001484291,0.00009014494,0.983904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1379297,"threshold_uncertainty_score":0.9998392,"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."}}