{"id":"W3010043317","doi":"","title":"Assessment of Lead Discrimination from CryoSat-2","year":2012,"lang":"en","type":"article","venue":"AGUFM","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Environmental science; Geology; Paleontology","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":[0.00001087131,0.00005563296,0.00007760002,0.00001935848,0.000007013119,0.00000208583,0.00007106275,0.00005051189,0.00002193534],"category_scores_gemma":[0.00002375518,0.00005145278,0.00001920953,0.00004975123,0.00002359722,0.0001086885,0.00001959654,0.00007254411,0.00001159207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004298496,"about_ca_system_score_gemma":4.937905e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001506904,"about_ca_topic_score_gemma":0.000002447432,"domain_scores_codex":[0.9996716,0.000002377624,0.00008724334,0.00004689297,0.00007201952,0.0001199175],"domain_scores_gemma":[0.9997884,0.00003793104,0.00001630222,0.000133364,0.000008601437,0.00001538808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[3.400447e-7,0.00001700743,0.003460154,0.00001538997,0.00001114818,2.369928e-7,0.00005181544,0.001273609,0.9807862,0.00211235,0.00009667764,0.01217504],"study_design_scores_gemma":[0.00007047461,0.000005347621,0.03471824,0.00001167315,0.000008861788,2.498139e-7,0.0001106124,0.003801673,0.9582634,0.001975236,0.000954905,0.00007935876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806423,0.0003148367,0.01291366,0.00002877392,0.0001227016,0.00003390627,0.000007506369,0.0003236193,0.005612652],"genre_scores_gemma":[0.9872174,0.00003435197,0.01265566,0.000005178956,0.00003762156,0.000005028719,0.00001058415,0.00001060986,0.00002357596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125808,"threshold_uncertainty_score":0.2098184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631819939740476,"score_gpt":0.2662443205242209,"score_spread":0.2499261211268162,"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."}}