{"id":"W4243335747","doi":"10.3138/infor.2015.53.2.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":"Front (military); Computer science; 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":[0.00059612,0.001649354,0.0007488935,0.002837213,0.001414192,0.006827782,0.0009933397,0.003759925,0.9486217],"category_scores_gemma":[0.002587364,0.0004731254,0.000624267,0.002019814,0.00125641,0.003290616,0.002158686,0.00124781,0.939999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009227321,"about_ca_system_score_gemma":0.001305292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164345,"about_ca_topic_score_gemma":0.002648278,"domain_scores_codex":[0.9995561,0.00003404342,0.00002450288,0.0001515708,0.0001477397,0.00008597675],"domain_scores_gemma":[0.9985849,0.0003355693,0.0001028544,0.000171081,0.0003628402,0.0004427701],"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":[0.00006147068,0.00007793035,0.0004375507,0.000199132,0.000007910033,0.0001419895,0.00006481278,0.0001488491,0.0006431636,0.009967834,0.7389918,0.2492575],"study_design_scores_gemma":[0.00001101,0.0000216984,0.0004949037,0.000172109,0.000004300503,0.00009402211,0.00008029072,0.00009773406,0.00018545,0.001502665,0.9973302,0.000005583457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005722622,0.0003808954,0.0003949204,0.00160514,0.001405472,0.00003612963,0.001517093,0.0004876221,0.9936005],"genre_scores_gemma":[0.001397556,0.0002780365,0.0001908901,0.0004268601,0.000212399,0.00001154821,0.0005033485,0.00009739424,0.9968821],"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."}}