{"id":"W4245597429","doi":"10.1002/hbe2.1","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Human Behavior and Emerging Technologies","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Citation; Computer science; World Wide Web; Data science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008783447,0.0002945152,0.0002834883,0.0005024726,0.0001627978,0.0001277689,0.0002209914,0.0005673685,0.0206173],"category_scores_gemma":[0.00000880452,0.0003049861,0.0000576989,0.0001065719,0.00008817433,0.000366493,0.00008990944,0.000488835,0.07608204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009229821,"about_ca_system_score_gemma":0.000009318118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002212255,"about_ca_topic_score_gemma":0.000003749064,"domain_scores_codex":[0.999056,0.00001003815,0.0003227585,0.0001735857,0.0001935903,0.0002440139],"domain_scores_gemma":[0.999483,0.000006551715,0.0000736972,0.000368356,0.00004614507,0.0000221864],"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":[7.407396e-7,0.000006537573,0.00005135663,0.0002459822,0.00001221696,3.95051e-7,0.0003443297,0.0004909614,0.001102634,0.00001713543,0.9543562,0.0433715],"study_design_scores_gemma":[0.000194027,0.00003734332,0.001154351,0.0001000701,0.00005304708,0.00000311573,0.001078783,0.0003804322,0.0003738983,0.00003518332,0.9961408,0.0004489865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5381995,0.006373704,0.002035749,0.0004358966,0.04112358,0.003159512,0.0003809822,0.0192915,0.3889996],"genre_scores_gemma":[0.7071813,0.008118307,0.0006741903,0.0001045328,0.001100783,0.0009166512,0.003495244,0.0002534056,0.2781556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1689818,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773372765855468,"score_gpt":0.2986309139831079,"score_spread":0.2708971863245532,"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."}}