{"id":"W4231154924","doi":"10.1002/oca.2365","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Optimal Control Applications and Methods","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001547011,0.001064805,0.001608182,0.002878285,0.001304779,0.005444951,0.002002859,0.002287669,0.944532],"category_scores_gemma":[0.01128194,0.000449093,0.0009887061,0.002516159,0.0003701376,0.002673802,0.001947897,0.001873204,0.8702178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221315,"about_ca_system_score_gemma":0.002234565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577683,"about_ca_topic_score_gemma":0.003228739,"domain_scores_codex":[0.9986243,0.000185792,0.000119905,0.0002115455,0.000669754,0.0001886839],"domain_scores_gemma":[0.993507,0.00102117,0.0002495369,0.0007952987,0.002943961,0.001482993],"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":[0.00004502712,0.00002864151,0.0000527439,0.0001731507,0.000003333631,0.00001629052,0.00000776596,0.00002399926,0.00007559705,0.0008164194,0.9722179,0.02653908],"study_design_scores_gemma":[0.00001894957,0.00002021705,0.0001894493,0.0001352987,0.000003044451,0.00002916944,0.0000164969,0.00004154567,0.00008890998,0.0006398973,0.9988129,0.000004079858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005511784,0.001820236,0.001430253,0.008263045,0.03143041,0.0007112153,0.06450906,0.002797056,0.8884875],"genre_scores_gemma":[0.001898926,0.0009811511,0.0004539065,0.00218554,0.002726637,0.0001917677,0.01817123,0.0007303621,0.9726604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05546796,"threshold_uncertainty_score":0.07911825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255835392341479,"score_gpt":0.2974365045597691,"score_spread":0.2718529653256211,"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."}}