{"id":"W2757419279","doi":"","title":"Intercomparison of TCCON and MUSICA Water Vapour Products","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Hydrology (agriculture); Geology","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":[0.00396684,0.0008707992,0.0006712465,0.001314349,0.001288289,0.002629471,0.001166089,0.00112008,0.001613898],"category_scores_gemma":[0.005395982,0.0003777058,0.0008630328,0.001879312,0.000471699,0.001964066,0.001105937,0.0008858218,0.0005099851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003123574,"about_ca_system_score_gemma":0.003685219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08021221,"about_ca_topic_score_gemma":0.08929288,"domain_scores_codex":[0.9965525,0.0005628692,0.0001167291,0.0004865851,0.002081746,0.0001995624],"domain_scores_gemma":[0.9966827,0.0006335722,0.0002092842,0.0004030544,0.001964681,0.000106737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01035483,0.001289671,0.1971782,0.001086486,0.00163437,0.0004748717,0.00174099,0.1664205,0.285062,0.007328764,0.03901102,0.2884183],"study_design_scores_gemma":[0.0008383184,0.00146948,0.2449212,0.0001663519,0.0007309078,0.0001415147,0.0007354927,0.3986132,0.3035132,0.002697772,0.04590711,0.0002654719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395193,0.0005673779,0.01835901,0.0007450454,0.0005576687,0.0003591247,0.01475088,0.001315589,0.02382592],"genre_scores_gemma":[0.9687017,0.0001417119,0.01948578,0.0002192475,0.00006387894,0.0001589778,0.007426184,0.0002795559,0.00352303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08021221,"threshold_uncertainty_score":0.1594906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634694943524742,"score_gpt":0.3583606319361093,"score_spread":0.1948911375836351,"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."}}