{"id":"W3210040501","doi":"","title":"The Thin Ice Clouds in Far IR Experiment (TICFIRE): A Potential Canadian Contribution to NASA A-CCP","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteorology; Environmental science; Astrobiology; Geography; Physics","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":[0.0003989071,0.0002267542,0.0002091796,0.00005463511,0.0001574002,0.0001148222,0.000248127,0.0001349399,0.000001368147],"category_scores_gemma":[0.0002879254,0.0002083259,0.0000564605,0.000229425,0.00001469977,0.00007037185,0.00002801963,0.0003108168,0.0001346042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071336,"about_ca_system_score_gemma":0.00005292927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1373566,"about_ca_topic_score_gemma":0.1504437,"domain_scores_codex":[0.9984726,0.00003534152,0.0003780161,0.0002374952,0.0002233854,0.0006531425],"domain_scores_gemma":[0.9991471,0.00008132916,0.00003887941,0.0002029421,0.00004249491,0.000487225],"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":[0.000009354067,0.000005304194,0.0005345891,0.0000201482,0.00002586401,0.00005381712,0.00145885,0.9893696,0.006398854,0.0001258878,0.001706281,0.0002915013],"study_design_scores_gemma":[0.001813791,0.0002369552,0.06651215,0.0006919689,0.00004839543,0.00004193089,0.004001654,0.6324832,0.02167969,0.0000265297,0.2706062,0.001857564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922222,0.0006823553,0.0004719005,0.001845786,0.001034707,0.0002268426,0.000008271009,0.0003537339,0.003154142],"genre_scores_gemma":[0.9989946,0.00003035165,0.0001970179,0.0002534946,0.0003611373,0.00004455974,0.00001211506,0.00004832046,0.00005843649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3568863,"threshold_uncertainty_score":0.8683878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007680173107807393,"score_gpt":0.1960376859772199,"score_spread":0.1883575128694125,"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."}}