{"id":"W4285607265","doi":"10.15627/jd.2022.9","title":"Table of contents to volume 9, issue 1","year":2022,"lang":"en","type":"article","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); Table (database); Environmental science; Thermodynamics; Computer science; Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008572392,0.001452633,0.001589899,0.007310833,0.001421755,0.006421451,0.002116599,0.002093378,0.83192],"category_scores_gemma":[0.00570512,0.0004704036,0.0009349996,0.003736837,0.0004497628,0.002299093,0.002158526,0.001721919,0.7270494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505799,"about_ca_system_score_gemma":0.002606218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280893,"about_ca_topic_score_gemma":0.004685508,"domain_scores_codex":[0.9991571,0.00007989634,0.00004405063,0.0001309874,0.000496242,0.00009180459],"domain_scores_gemma":[0.995408,0.000722146,0.0002573362,0.0004282956,0.002005334,0.001178747],"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":[0.00001158065,0.00004126521,0.00006833363,0.0001194017,0.000002556678,0.000006433663,0.000003096426,0.00002716188,0.00009911336,0.0002939201,0.977986,0.0213412],"study_design_scores_gemma":[0.00001639061,0.00002499877,0.0008343594,0.0002528325,0.000006546848,0.00002735742,0.00001542153,0.0000671606,0.0001238006,0.0007245392,0.9978999,0.000006602734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000465866,0.005485904,0.00101943,0.01295101,0.08689213,0.0005649311,0.01339574,0.001865619,0.8773594],"genre_scores_gemma":[0.001312819,0.003163196,0.0004547455,0.003383987,0.0215254,0.0001222611,0.006190418,0.0007682958,0.9630788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.16808,"threshold_uncertainty_score":0.2397456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382770183183274,"score_gpt":0.2134991646174314,"score_spread":0.175222146299104,"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."}}