{"id":"W2555150932","doi":"10.1109/piers.2016.7735611","title":"Data fusion analysis of Sea Surface Temperature from HY-2A satellite radiometer","year":2016,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Sea surface temperature; Remote sensing; Satellite; Radiometer; Advanced very-high-resolution radiometer; Sensor fusion; Root mean square; Environmental science; Fusion; Microwave radiometer; Meteorology; Geology; Computer science; Climatology; Physics; Artificial intelligence","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":[0.001043743,0.0008252863,0.0008625979,0.00192496,0.0005237365,0.0009304769,0.0004972286,0.0005146171,0.0015275],"category_scores_gemma":[0.001604934,0.0003124365,0.001173686,0.002271536,0.0002108326,0.001224732,0.001261433,0.0005659477,0.001140257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710123,"about_ca_system_score_gemma":0.0008879119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004106847,"about_ca_topic_score_gemma":0.002871649,"domain_scores_codex":[0.9989458,0.0001163477,0.00009270899,0.0003261797,0.000372007,0.0001469469],"domain_scores_gemma":[0.9993039,0.00004281359,0.00004691,0.0001294008,0.0004463772,0.00003054397],"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":[0.001453246,0.000455314,0.1107828,0.000616436,0.0007544855,0.0005656837,0.001064739,0.07810998,0.2173048,0.004301017,0.01664954,0.567942],"study_design_scores_gemma":[0.0001615321,0.000362024,0.238101,0.00006083208,0.0005429386,0.0002468054,0.0006822681,0.6193684,0.1095053,0.003330373,0.02736295,0.0002756513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6070901,0.0009086017,0.3620054,0.0002883495,0.0008769748,0.0003650861,0.01241724,0.00620448,0.009843684],"genre_scores_gemma":[0.8421394,0.0002866632,0.1372545,0.00007986921,0.0001529966,0.0003174907,0.01671151,0.000399204,0.002658334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004106847,"threshold_uncertainty_score":0.008165896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974100489214699,"score_gpt":0.2253865810367777,"score_spread":0.2056455761446307,"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."}}