{"id":"W3127432954","doi":"10.1029/2020gl091873","title":"Observationally Constrained Cloud Phase Unmasks Orbitally Driven Climate Feedbacks","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Board; Yale University; National Science Foundation","keywords":"Cloud feedback; Climate model; Environmental science; Cloud computing; Ice cloud; Atmospheric sciences; Climate state; Climate change; Climatology; Geology; Global warming; Climate sensitivity; Effects of global warming; Computer science; Oceanography","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":[0.0005275742,0.000211677,0.0002483487,0.0002500468,0.0003008922,0.0006574725,0.0002813286,0.0002485906,0.002052562],"category_scores_gemma":[0.002236807,0.0001897223,0.0002525527,0.0003248332,0.0004068561,0.0005943632,0.0005687968,0.0003430732,0.0001635378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906176,"about_ca_system_score_gemma":0.0003593161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456469,"about_ca_topic_score_gemma":0.02284594,"domain_scores_codex":[0.9998241,0.00005229296,0.00001138925,0.00006457035,0.00002025329,0.00002731219],"domain_scores_gemma":[0.9990268,0.0003247027,0.0002166697,0.000230076,0.0001027358,0.00009908873],"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":[0.0006897233,0.0001572052,0.8962682,0.0001330501,0.0002631652,0.00008469549,0.0002118829,0.04275154,0.04218975,0.002853449,0.001279925,0.01311741],"study_design_scores_gemma":[0.00009576885,0.00008687736,0.9263718,0.00002139016,0.00008188372,0.00005030806,0.0001688414,0.0623376,0.005119229,0.003008406,0.002625015,0.00003296522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955459,0.00006460851,0.001316488,0.0001092948,0.000009171899,0.000004444899,0.00131038,0.00004831696,0.001591452],"genre_scores_gemma":[0.9991616,0.00002001088,0.0001706841,0.00001785658,0.000003586809,0.0000018879,0.0005729903,0.000007759627,0.0000436401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456469,"threshold_uncertainty_score":0.02895981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477942138244735,"score_gpt":0.3293350708488708,"score_spread":0.2745556494664235,"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."}}