{"id":"W2994794646","doi":"","title":"Global Warming Potentials Modified for Water Interference in the Atmosphere","year":2000,"lang":"en","type":"article","venue":"80th AMS Annual  Meeting","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Atmosphere (unit); Environmental science; Global warming; Climatology; Atmospheric sciences; Interference (communication); Meteorology; Climate change; Geography; Geology; Computer science; Oceanography; Telecommunications; Channel (broadcasting)","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":[0.001182233,0.0007587843,0.0003042673,0.001580509,0.0003455866,0.0007199806,0.0007950141,0.0007997661,0.00401128],"category_scores_gemma":[0.002260989,0.0001892282,0.001027372,0.002314537,0.0003367587,0.001503536,0.0007927105,0.0006672661,0.0005275556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098444,"about_ca_system_score_gemma":0.0006221596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212707,"about_ca_topic_score_gemma":0.01260278,"domain_scores_codex":[0.9997128,0.00009775541,0.0000111953,0.00005425721,0.00005725884,0.00006673712],"domain_scores_gemma":[0.9993904,0.0002319806,0.00005524813,0.00006133493,0.0001917098,0.00006930738],"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":[0.002341088,0.0002391041,0.1276934,0.0009579309,0.0009426372,0.001268493,0.0003776895,0.5778854,0.01991092,0.1699968,0.03001411,0.06837241],"study_design_scores_gemma":[0.0004446827,0.0006776704,0.4260011,0.0001551242,0.001005138,0.0006757893,0.0008101742,0.393465,0.01562407,0.09156183,0.06929196,0.0002873968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520953,0.002687847,0.02901242,0.002375592,0.001552639,0.0002348142,0.02829944,0.001018738,0.08272322],"genre_scores_gemma":[0.9908228,0.0003228413,0.001865709,0.0001463781,0.0001091199,0.00009007254,0.003718605,0.0001339523,0.002790566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212707,"threshold_uncertainty_score":0.02411294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992390429201637,"score_gpt":0.2327171154386222,"score_spread":0.2127932111466058,"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."}}