{"id":"W4246080336","doi":"10.1109/icjece.2021.3063541","title":"Table of contents","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Information retrieval; Database; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007207572,0.00005000691,0.000122237,0.00004132366,0.00002567888,0.0000114665,0.00006237981,0.0000249642,0.0002082281],"category_scores_gemma":[0.00001784911,0.00004499494,0.00002677885,0.0001256629,0.00001806907,0.00007290951,0.00001190422,0.0001013126,0.000002853664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000608001,"about_ca_system_score_gemma":0.00005475096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003282964,"about_ca_topic_score_gemma":0.0001458584,"domain_scores_codex":[0.9994922,0.000007756281,0.000154296,0.000052439,0.00008517515,0.0002081722],"domain_scores_gemma":[0.99949,0.0000240552,0.00004290704,0.00004003753,0.000007885546,0.0003951202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001910256,0.0001036684,0.9051667,0.00005622533,0.0001083447,0.0007700869,0.0005923449,0.01390315,0.02075303,0.001721989,0.006751628,0.05005375],"study_design_scores_gemma":[0.0005666543,0.0003572435,0.9235634,0.00005131809,0.00001910192,0.0004513425,0.000006836831,0.01873505,0.005606322,0.0001120026,0.05035501,0.0001756832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858662,0.0008373614,0.01244702,0.0002761902,0.0001424774,0.00002120957,0.000001073257,0.000001987256,0.0004064261],"genre_scores_gemma":[0.9976961,0.00003753574,0.002000038,0.0001331448,0.00005690854,1.076206e-7,3.013241e-7,0.000004047563,0.00007180109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04987806,"threshold_uncertainty_score":0.2279952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006778935535809548,"score_gpt":0.169189357689673,"score_spread":0.1624104221538635,"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."}}