{"id":"W4249288837","doi":"10.3138/infor.2015.53.1.fm","title":"Front Matter","year":2015,"lang":"en","type":"paratext","venue":"INFOR Information Systems and Operational Research","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005961188,0.001649354,0.0007488928,0.002837209,0.00141419,0.006827779,0.0009933397,0.003759923,0.9486217],"category_scores_gemma":[0.00258736,0.0004731252,0.0006242667,0.002019813,0.00125641,0.003290612,0.002158684,0.001247809,0.939999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009227321,"about_ca_system_score_gemma":0.001305293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164346,"about_ca_topic_score_gemma":0.002648283,"domain_scores_codex":[0.9995561,0.00003404335,0.00002450286,0.0001515705,0.0001477396,0.00008597675],"domain_scores_gemma":[0.9985849,0.0003355682,0.0001028543,0.0001710804,0.0003628395,0.0004427693],"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":[0.00006147075,0.00007793035,0.0004375507,0.0001991322,0.000007910034,0.0001419896,0.00006481284,0.0001488494,0.0006431646,0.009967844,0.7389919,0.2492574],"study_design_scores_gemma":[0.00001100999,0.0000216984,0.0004949039,0.0001721088,0.000004300499,0.00009402211,0.00008029072,0.00009773406,0.00018545,0.001502665,0.9973302,0.000005583451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005722622,0.000380895,0.0003949206,0.001605137,0.001405471,0.00003612963,0.001517092,0.0004876216,0.9936005],"genre_scores_gemma":[0.001397556,0.0002780365,0.0001908901,0.0004268595,0.0002123988,0.00001154821,0.0005033487,0.00009739414,0.9968821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05137825,"threshold_uncertainty_score":0.07328475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015048659938602,"score_gpt":0.3962890166312689,"score_spread":0.2947841506374087,"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."}}