{"id":"W4200325287","doi":"10.15627/jd.2021.25","title":"Editorial Board to volume 8, issue 2","year":2021,"lang":"en","type":"paratext","venue":"Journal of Daylighting","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Volume (thermodynamics); Editorial board; Computer science; Library science; Physics; Thermodynamics","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":[0.001065956,0.0002724515,0.001293991,0.000514121,0.0001652542,0.0003560715,0.0005679189,0.000279759,0.04617431],"category_scores_gemma":[0.0004693803,0.0002963385,0.0004683196,0.0002596838,0.00004062039,0.0002695236,0.0002793419,0.0005477585,0.1592099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845754,"about_ca_system_score_gemma":0.0001174404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006174175,"about_ca_topic_score_gemma":0.000003585893,"domain_scores_codex":[0.9973947,0.00001919403,0.001602831,0.0004529675,0.0001185558,0.0004117625],"domain_scores_gemma":[0.997178,0.00006261485,0.001961424,0.000308702,0.0002783852,0.0002108839],"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":[0.00001399472,0.00003130027,0.00009672579,0.00003994565,0.0002375532,0.00001081599,0.0005370217,0.0001622476,0.0000077772,0.0002644196,0.9983861,0.0002120919],"study_design_scores_gemma":[0.0003402461,0.00007297962,0.00001867378,0.0001543089,0.00002289193,0.000008476933,0.0005043861,0.00001342942,0.00002636796,0.0001218045,0.9984005,0.0003159236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002372782,0.004339015,0.0001587613,0.0005044967,0.4868844,0.0000656171,0.0003553505,0.000004021065,0.5074511],"genre_scores_gemma":[0.000210368,0.0006873737,0.0008769553,0.0002449295,0.2058434,0.000002714864,0.00001331317,0.00003577167,0.7920852],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2846341,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238058765066199,"score_gpt":0.2322229016969051,"score_spread":0.2084170251902852,"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."}}