{"id":"W4254256415","doi":"10.15627/jd.2018.9","title":"Editorial Board to volume 5, issue 2","year":2018,"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; Environmental science; Computer science; Library science; Thermodynamics; Physics","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":[0.001328015,0.000283103,0.001171788,0.000623708,0.0001958697,0.0002956431,0.0007170471,0.0002928509,0.04857816],"category_scores_gemma":[0.0003934873,0.0002936497,0.0003906402,0.0002184734,0.00007627103,0.000304577,0.0002602965,0.0004404447,0.37972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782453,"about_ca_system_score_gemma":0.00007960326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006275011,"about_ca_topic_score_gemma":0.000003199875,"domain_scores_codex":[0.9973859,0.00001551167,0.001601919,0.0004394658,0.0001161142,0.0004411398],"domain_scores_gemma":[0.9968759,0.00005247569,0.002265789,0.0003142651,0.0002738542,0.0002177123],"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":[0.00002550116,0.0000257489,0.00009430676,0.00002941202,0.0001967641,0.000003030547,0.0006176488,0.00004139555,0.000004319386,0.000189509,0.9986261,0.00014626],"study_design_scores_gemma":[0.000353623,0.0001620374,0.00001855146,0.0001208553,0.00002123745,0.000005467622,0.0002465754,0.0000158832,0.00001971242,0.0002450382,0.9984689,0.000322083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003012655,0.001335325,0.0001580567,0.0003438591,0.4759592,0.00007809918,0.0003565867,0.000004826081,0.5214629],"genre_scores_gemma":[0.0002402935,0.0002886522,0.0008013405,0.0002010544,0.280298,0.000002396571,0.000006637216,0.0000349104,0.7181267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3311418,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239257327519862,"score_gpt":0.2356302056926934,"score_spread":0.2117044729407072,"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."}}