{"id":"W4233081568","doi":"10.29173/eureka8020","title":"Front Matter","year":2010,"lang":"en","type":"paratext","venue":"Eureka","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005712449,0.0007718455,0.0006904891,0.001038145,0.001720338,0.006199952,0.001055913,0.003889482,0.9254698],"category_scores_gemma":[0.003192855,0.0002418982,0.0003931344,0.0009137631,0.0008788535,0.002685922,0.002070314,0.001688086,0.8709016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624941,"about_ca_system_score_gemma":0.001812674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00510052,"about_ca_topic_score_gemma":0.007854398,"domain_scores_codex":[0.999487,0.00003770231,0.00002671832,0.0001314462,0.0002250394,0.00009199962],"domain_scores_gemma":[0.9986185,0.0001730447,0.00007399871,0.0001414013,0.0004928806,0.000500157],"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":[0.00003963018,0.00002903944,0.0003672675,0.0001628683,0.0000036725,0.0001112637,0.00007872973,0.00003950486,0.0004888624,0.003973614,0.8708059,0.1238997],"study_design_scores_gemma":[0.000003879903,0.000005614291,0.0003682218,0.00007214514,9.72767e-7,0.00005654162,0.00007379428,0.00002353497,0.00007482302,0.0003654676,0.9989529,0.000002151089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0007190694,0.001270486,0.0003214214,0.006865355,0.003594731,0.00003587231,0.001230134,0.0007053143,0.9852577],"genre_scores_gemma":[0.00155087,0.0005694533,0.0001307362,0.001132753,0.0002263124,0.000007795541,0.0004548559,0.0001349386,0.9957923],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07453024,"threshold_uncertainty_score":0.1063083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493058823982668,"score_gpt":0.3239646506760745,"score_spread":0.2990340624362478,"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."}}