{"id":"W4247183201","doi":"10.1002/brb3.380","title":"Issue Information","year":2016,"lang":"en","type":"paratext","venue":"Brain and Behavior","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; University of California, Santa Barbara; Université de Poitiers; Brock University; Magyar Tudományos Akadémia; University of Toronto; Curtin University of Technology; University of Sussex; University of South Florida; McLean Hospital","keywords":"Computer science; Neuroscience; Psychology","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":[0.0002322014,0.0001792999,0.000391413,0.0002280882,0.0001187694,0.0001624214,0.0001524037,0.000188316,0.08573635],"category_scores_gemma":[0.00003223648,0.0001687616,0.00008488027,0.00005387111,0.0001091855,0.0003901942,0.0001194498,0.00009202306,0.5065542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000052912,"about_ca_system_score_gemma":0.00001341293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006953572,"about_ca_topic_score_gemma":0.000001970941,"domain_scores_codex":[0.9989944,0.000004347901,0.0004436023,0.0003029966,0.00002187402,0.0002328337],"domain_scores_gemma":[0.9993618,0.0000255513,0.0003019547,0.0002204847,0.0000190968,0.00007113788],"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":[0.000002184452,0.0000159952,0.0001571736,0.00003434031,0.0000167139,4.577442e-7,0.0002109724,8.10819e-8,9.068922e-7,0.003438966,0.9897774,0.006344747],"study_design_scores_gemma":[0.0003131591,0.00001694627,0.0008469903,0.00002268249,0.00001022144,0.000001751546,0.0001022049,0.0000021123,0.000004976691,0.0001256758,0.9983011,0.0002521177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007817436,0.001904762,0.00007786693,0.0007785998,0.01333528,0.0002556591,0.004784005,0.00001996489,0.9780622],"genre_scores_gemma":[0.0006344147,0.0009606438,0.00005984891,0.0006388514,0.0003280229,0.00006384458,0.0001345296,0.00001240967,0.9971674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4208179,"threshold_uncertainty_score":0.9150994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042585035831956,"score_gpt":0.2311512740388356,"score_spread":0.200725423680516,"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."}}