{"id":"W4243029226","doi":"10.1002/brb3.266","title":"Issue Information","year":2015,"lang":"en","type":"paratext","venue":"Brain and Behavior","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Menzies Centre for Australian Studies, King's College London, University of London; University of California, Santa Barbara; National Institute for Physiological Sciences; Université de Poitiers; Uppsala Universitet; University of California, Los Angeles; National Taiwan University; Brock University; Università degli Studi di Parma; Tsinghua University; Brown University; Magyar Tudományos Akadémia; Korea University; McLean Hospital; University of South Florida; Curtin University of Technology; University of Sussex; University of Toronto; GlaxoSmithKline","keywords":"Citation; Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003617749,0.000179845,0.0004234193,0.0002300135,0.00009573145,0.0002035658,0.0001535686,0.0001961617,0.03764445],"category_scores_gemma":[0.00004474426,0.0002005923,0.0000698798,0.00007776925,0.00009410299,0.0003785876,0.0001304428,0.0001293448,0.4244628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007023787,"about_ca_system_score_gemma":0.00002465905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001667434,"about_ca_topic_score_gemma":0.000003743009,"domain_scores_codex":[0.9990184,0.000004856569,0.0004452149,0.0002875035,0.00002898239,0.000215045],"domain_scores_gemma":[0.999342,0.00001449564,0.0002935207,0.000215832,0.00003460435,0.00009955205],"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":[0.000002361478,0.00002177958,0.000119005,0.00003058018,0.00001536883,5.675416e-7,0.000485063,8.018908e-7,1.829183e-7,0.00164809,0.9952407,0.00243548],"study_design_scores_gemma":[0.0003167318,0.00002267232,0.0004305736,0.00001125935,0.00001317836,0.000002335992,0.0003284029,0.00001148549,0.000001475876,0.0001263469,0.9984818,0.0002537736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001110499,0.003178795,0.00002239605,0.0003948325,0.01316979,0.0002607038,0.003471287,0.00001976109,0.9783719],"genre_scores_gemma":[0.0005709876,0.0004361491,0.00008854441,0.0006141786,0.0002873298,0.00005669289,0.0003620521,0.00001252516,0.9975715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3868183,"threshold_uncertainty_score":0.9632353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04855447227743339,"score_gpt":0.2449645825227161,"score_spread":0.1964101102452827,"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."}}