{"id":"W3204556440","doi":"10.1155/2021/9917145","title":"Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data","year":2021,"lang":"en","type":"article","venue":"Advances in Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inversion (geology); Emissivity; Algorithm; Remote sensing; Radiative transfer; Logarithm; Infrared window; Inverse transform sampling; Environmental science; Computer science; Mathematics; Meteorology; Geology; Geography; Physics; Optics; Mathematical analysis","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":[0.002629628,0.0005831197,0.0004266485,0.001118873,0.0004436044,0.0008935018,0.0005599876,0.0005550383,0.0005691449],"category_scores_gemma":[0.007627048,0.000253138,0.0008365067,0.000909594,0.0002876373,0.001202877,0.0004183719,0.0005485587,0.0002715388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711471,"about_ca_system_score_gemma":0.0008880914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188434,"about_ca_topic_score_gemma":0.005840636,"domain_scores_codex":[0.9987679,0.0002300442,0.0001191148,0.0002308807,0.0005536206,0.00009848186],"domain_scores_gemma":[0.9976133,0.0007096438,0.0001624876,0.0002531935,0.00123419,0.00002716275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005678122,0.0002089152,0.1166946,0.0003119287,0.0004770491,0.0002032383,0.0003876325,0.4225593,0.05385203,0.00317894,0.002376529,0.399182],"study_design_scores_gemma":[0.0000267592,0.00005803998,0.02329757,0.00002003479,0.00007997778,0.00006454218,0.00008405381,0.9504004,0.02410378,0.0005569827,0.001270612,0.00003728115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6557558,0.001184354,0.3367584,0.0002475244,0.00009861121,0.0001138705,0.0004894268,0.001868223,0.003483824],"genre_scores_gemma":[0.9034896,0.0003653384,0.09365951,0.00005145434,0.00002305974,0.00009175107,0.001205958,0.0001984378,0.000914924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188434,"threshold_uncertainty_score":0.02363032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202256297242916,"score_gpt":0.3167066321580047,"score_spread":0.2946840691855755,"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."}}