{"id":"W1584481074","doi":"10.4271/2005-01-2988","title":"The I/R Thermal Balance Test of Radarsat-2: Approach to Verification / Correlation","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance (ability); Test (biology); Computer science; Remote sensing; Environmental science; Meteorology; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003499268,0.000710651,0.0003941166,0.001300571,0.0004333356,0.000948365,0.0008653574,0.0006773605,0.002638022],"category_scores_gemma":[0.007738972,0.0002809517,0.0003246134,0.001046448,0.0007422779,0.0009077473,0.0009164696,0.0006941732,0.001818478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518487,"about_ca_system_score_gemma":0.0009318459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400951,"about_ca_topic_score_gemma":0.002073549,"domain_scores_codex":[0.9973124,0.0008164023,0.0001297593,0.0005974353,0.0008562981,0.0002877201],"domain_scores_gemma":[0.9970566,0.0007676015,0.0003356684,0.0008096999,0.0009102146,0.0001202418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002483724,0.001113798,0.1013587,0.0004920643,0.0002776925,0.0008138132,0.001039334,0.08527155,0.3804285,0.02158393,0.007975549,0.3971612],"study_design_scores_gemma":[0.0001706609,0.002141786,0.0746839,0.0001021437,0.0001101973,0.0007945503,0.0006155733,0.5741971,0.3343636,0.004314119,0.008382177,0.0001241242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4173365,0.0002590294,0.5629689,0.0001937808,0.00009067639,0.0003415459,0.00133555,0.002673157,0.01480081],"genre_scores_gemma":[0.8855702,0.00006850729,0.1102339,0.0001051454,0.00002839514,0.0002018176,0.001056658,0.000204802,0.002530628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003499268,"threshold_uncertainty_score":0.01850611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037161076922862,"score_gpt":0.2200174213834084,"score_spread":0.2096458106141798,"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."}}