{"id":"W7098300119","doi":"","title":"Canadian Middle Atmosphere Model","year":2013,"lang":"en","type":"article","venue":"","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Stratosphere; Atmospheric models; Atmospheric composition; Troposphere; Northern Hemisphere","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002711315,0.00007975658,0.00004832602,0.000004757627,0.00005936964,0.00002341926,0.0001289195,0.0001262566,0.0003824263],"category_scores_gemma":[0.00001351762,0.00006738381,0.00003725472,0.00003682313,0.00002170709,0.00000280664,0.00003554801,0.00007887177,0.0002006465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003434176,"about_ca_system_score_gemma":0.0001227654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05543746,"about_ca_topic_score_gemma":0.1153661,"domain_scores_codex":[0.9995092,0.00001183792,0.00005870592,0.0001698208,0.00004694668,0.0002035027],"domain_scores_gemma":[0.9995576,0.000001961923,0.00001168669,0.0001910376,0.00007714472,0.0001605368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001196191,0.00002927968,0.005726886,0.000007872341,0.00006719615,0.000001615695,0.00003303622,0.0005611918,0.7691413,0.001417691,0.2180347,0.004967324],"study_design_scores_gemma":[0.001382223,0.0004509821,0.01883536,0.00001563358,0.00002990167,0.00005046207,0.0004954756,0.09167362,0.6102785,0.00586007,0.2692488,0.001678876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961309,0.0002416043,0.0005219532,0.0008553634,0.00005707032,0.0001218317,0.000005358572,0.00001196751,0.102054],"genre_scores_gemma":[0.972714,0.000008983191,0.003241687,0.001424842,0.00005960995,0.00001239091,0.00003279643,0.00001085891,0.02249481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588627,"threshold_uncertainty_score":0.9508525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063306013848885,"score_gpt":0.2066022496852306,"score_spread":0.1959691895467418,"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."}}