{"id":"W2981079054","doi":"10.3390/rs11202393","title":"The Case for a Single Channel Composite Arctic Sea Surface Temperature Algorithm","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Channel (broadcasting); Sea surface temperature; Estimator; Brightness temperature; Geology; Environmental science; Remote sensing; Climatology; Brightness; Mathematics; Computer science; Statistics; Physics; Optics; Telecommunications","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":[0.004886604,0.0006232689,0.0009208338,0.0004971509,0.0006580916,0.002214651,0.001910392,0.001613033,0.003438436],"category_scores_gemma":[0.01431644,0.0003972873,0.0006768865,0.0008391468,0.0008291845,0.00306848,0.001612167,0.001989616,0.002650193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934954,"about_ca_system_score_gemma":0.002488578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939935,"about_ca_topic_score_gemma":0.005342065,"domain_scores_codex":[0.9974633,0.0005306419,0.0001907114,0.0008904411,0.0007044389,0.0002204131],"domain_scores_gemma":[0.993476,0.001514075,0.0002445584,0.002250807,0.002305834,0.0002087012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009492072,0.0003132824,0.01964288,0.0002330703,0.0003499736,0.000194035,0.000251552,0.2194317,0.01311242,0.06460881,0.02283575,0.6580773],"study_design_scores_gemma":[0.00008042355,0.000148685,0.002138115,0.00006058814,0.000054401,0.0002207573,0.00007048867,0.9532973,0.00525378,0.02090294,0.01773339,0.00003914749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02249482,0.0004353575,0.9693207,0.0006530309,0.0004264665,0.00009523325,0.0002540081,0.001550814,0.004769562],"genre_scores_gemma":[0.1798806,0.0002301634,0.8143306,0.000473745,0.0003232883,0.000201054,0.000836242,0.0003695728,0.003354707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004939935,"threshold_uncertainty_score":0.02584308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984553764905435,"score_gpt":0.2046728291921653,"score_spread":0.194827291543111,"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."}}