{"id":"W2131706214","doi":"10.5194/acp-5-1931-2005","title":"Black carbon ageing in the Canadian Centre for Climate modelling and analysis atmospheric general circulation model","year":2005,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aerosol; Ozone; Environmental science; Atmospheric sciences; Ageing; Atmosphere (unit); Climatology; Chemistry; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001163487,0.001248728,0.001061328,0.0008010605,0.002047962,0.002003191,0.003331466,0.001672628,0.004319174],"category_scores_gemma":[0.003082093,0.0005598518,0.001411898,0.001975928,0.0006904806,0.000829345,0.0007042076,0.002278139,0.0006629365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133804,"about_ca_system_score_gemma":0.01544279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9456476,"about_ca_topic_score_gemma":0.8849536,"domain_scores_codex":[0.999326,0.0001711554,0.0000248392,0.0001686051,0.0001810764,0.0001283152],"domain_scores_gemma":[0.998369,0.0003249014,0.00008010223,0.00008288237,0.0009758505,0.0001673285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001356315,0.000081937,0.01444563,0.00009263018,0.0001782443,0.00007167429,0.00005015653,0.9578412,0.0004397215,0.004770759,0.01760276,0.00428969],"study_design_scores_gemma":[0.000132496,0.00001860356,0.008659005,0.00001934514,0.00005018916,0.00001009936,0.00004264401,0.9824051,0.0001985487,0.0009770918,0.007426615,0.00006030401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200959,0.003158252,0.03567916,0.006616888,0.00154762,0.0006699276,0.1650736,0.003224235,0.06393437],"genre_scores_gemma":[0.9220545,0.001026925,0.0219336,0.0005015484,0.0001500977,0.0003850388,0.04518972,0.0003148361,0.008443782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0543524,"threshold_uncertainty_score":0.109345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211910466542402,"score_gpt":0.2007607526356085,"score_spread":0.1886416479701845,"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."}}