{"id":"W2885080132","doi":"10.1139/cjes-2018-0024","title":"Estimating basin-wide air temperature by partial integration of remote sensing data","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Interpolation (computer graphics); Structural basin; Satellite; Meteorology; Geology; Air temperature; Environmental science; Climatology; Computer science; Geography; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005005007,0.0005299905,0.0004856111,0.0006924364,0.0001988655,0.0004302709,0.0003600889,0.0002353839,0.0005209111],"category_scores_gemma":[0.001672607,0.0003474194,0.0004336421,0.001229964,0.0001430111,0.0005833841,0.0005131048,0.0003027941,0.0001275406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198903,"about_ca_system_score_gemma":0.0004828329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008715388,"about_ca_topic_score_gemma":0.01609878,"domain_scores_codex":[0.9998208,0.00005440037,0.00001250815,0.00004696265,0.00004847258,0.00001681984],"domain_scores_gemma":[0.999645,0.0001600704,0.00004530999,0.00006375543,0.00007222212,0.00001370721],"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":[0.0003594532,0.0001075103,0.05125027,0.0003147903,0.0004580168,0.000107494,0.0002451052,0.4762338,0.05292454,0.001212341,0.0006242221,0.4161625],"study_design_scores_gemma":[0.00001483055,0.00005881005,0.03004555,0.00001591884,0.00006856884,0.0000574113,0.00004798174,0.9605732,0.007309034,0.0006916646,0.001089361,0.00002770926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4445796,0.0008843858,0.5507652,0.00006535546,0.00003341059,0.00005623418,0.0005604358,0.001496878,0.001558458],"genre_scores_gemma":[0.7966577,0.000293504,0.2018693,0.00001522848,0.00001302099,0.00006059356,0.0006068905,0.0000824441,0.000401296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008715388,"threshold_uncertainty_score":0.01732934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450517422589342,"score_gpt":0.2454839937367552,"score_spread":0.2209788195108618,"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."}}