{"id":"W6906553633","doi":"10.17632/kvt2s9ryk7","title":"Radiative closure tests of collocated hyperspectral microwave and infrared radiometers","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Radiance; Hyperspectral imaging; Microwave; Radiative transfer; Radiometer; Infrared; Interferometry; Radiometry; Microwave radiometer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002423843,0.001734049,0.00109428,0.001617711,0.0009681955,0.001423955,0.003251955,0.001640762,0.003805673],"category_scores_gemma":[0.005664478,0.0004251184,0.00134031,0.002234041,0.0008926641,0.0008726565,0.001156236,0.001345571,0.004487467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846082,"about_ca_system_score_gemma":0.003186284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2839839,"about_ca_topic_score_gemma":0.3598007,"domain_scores_codex":[0.9980978,0.0003537261,0.0001278619,0.0005349338,0.0006387328,0.0002468968],"domain_scores_gemma":[0.9973459,0.0004893964,0.0001779257,0.0008963032,0.0009420018,0.00014849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005268328,0.0003070102,0.02102957,0.0004143288,0.0003944323,0.0001757802,0.00008786482,0.04931502,0.001553979,0.002220012,0.9071468,0.0168283],"study_design_scores_gemma":[0.00175795,0.0001548664,0.1176808,0.0003957237,0.0002362271,0.0003086841,0.0004946249,0.1809798,0.01149197,0.004954873,0.6811892,0.0003552116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04344642,0.0005025343,0.001750558,0.0005392925,0.0002971072,0.0000900935,0.9468663,0.002298685,0.00420899],"genre_scores_gemma":[0.02994524,0.00007759502,0.002367374,0.000110309,0.00003265622,0.00008637104,0.9656491,0.0002009499,0.001530553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2839839,"threshold_uncertainty_score":0.5646619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278719843785193,"score_gpt":0.3068984987572207,"score_spread":0.2641113003193687,"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."}}