{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005517751,0.0004179537,0.0005739253,0.001597772,0.0004971859,0.003448285,0.0004976835,0.0006716251,0.02333528],"category_scores_gemma":[0.0003425539,0.0003489243,0.00007617495,0.0004266647,0.0002720208,0.004721842,0.000347502,0.001178965,0.9197821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008392686,"about_ca_system_score_gemma":0.001820445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669209,"about_ca_topic_score_gemma":0.00002008972,"domain_scores_codex":[0.9931583,0.0003722048,0.001512708,0.0002911823,0.003918338,0.0007472695],"domain_scores_gemma":[0.9922961,0.0002420307,0.0003435887,0.0005562301,0.006092211,0.0004698439],"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":[0.00008140988,0.00001161853,0.00006268595,0.0004612132,0.00006515204,6.34507e-7,0.00125762,0.001945622,0.000005168489,0.00261924,0.9933223,0.0001674077],"study_design_scores_gemma":[0.0006742981,0.00008305493,0.0001339243,0.0002741095,0.000006236836,0.00005369927,0.001263783,0.0044602,0.000009273651,0.00001052401,0.9926379,0.0003930441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004340072,0.001929684,0.0001897134,0.0002660775,0.001991538,0.00226366,0.002659949,0.00008778386,0.9901776],"genre_scores_gemma":[0.01484421,0.0001803453,0.0001647285,0.0006239116,0.001831953,0.001610349,0.01275981,0.0002463836,0.9677383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8964468,"threshold_uncertainty_score":0.9998963,"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."}}