{"id":"W4296845004","doi":"10.1002/essoar.10512390.1","title":"The global patterns of instantaneous CO2 forcing at the top-of-atmosphere and surface","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cloud forcing; Radiative forcing; Longwave; Forcing (mathematics); Atmosphere (unit); Atmospheric sciences; Environmental science; Downwelling; Climatology; Radiative transfer; Water vapor; Radiative flux; Flux (metallurgy); Meteorology; Physics; Geology; Chemistry; Aerosol; Upwelling","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":[],"consensus_categories":[],"category_scores_codex":[0.0001713616,0.0001777782,0.0001704609,0.0006099807,0.000137982,0.000379426,0.0001505133,0.0002595947,0.0007554372],"category_scores_gemma":[0.000509356,0.0001087614,0.000322712,0.00087709,0.0002286898,0.0003075319,0.0002802828,0.0001902511,0.0001817732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340091,"about_ca_system_score_gemma":0.0001824647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008171097,"about_ca_topic_score_gemma":0.009445106,"domain_scores_codex":[0.9999005,0.00001024728,0.00000689816,0.00004837821,0.00001609593,0.00001789822],"domain_scores_gemma":[0.9997556,0.00004024473,0.00007343652,0.0000365257,0.00006647648,0.00002770349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001964742,0.00008480074,0.853927,0.0001507357,0.0004158713,0.0002381157,0.0004079615,0.03638791,0.06184151,0.002802366,0.002884814,0.04066245],"study_design_scores_gemma":[0.000006761338,0.00002892856,0.9842135,0.000008536013,0.00003336013,0.00009068104,0.00009575233,0.0114808,0.001595406,0.0003580589,0.002071662,0.00001661291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942095,0.0002989051,0.001134275,0.000133079,0.00001195397,0.000006462269,0.001850044,0.00008467288,0.002271053],"genre_scores_gemma":[0.9975609,0.0001648125,0.0006315598,0.00002483781,0.000008352815,0.000007842658,0.001293082,0.00002138824,0.0002871656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008171097,"threshold_uncertainty_score":0.01624709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005601984019920152,"score_gpt":0.2073996931370501,"score_spread":0.2017977091171299,"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."}}