{"id":"W2087323147","doi":"10.1007/s00704-014-1124-0","title":"Spatial source attribution of measured urban eddy covariance CO2 fluxes","year":2014,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Eddy covariance; Environmental science; Atmospheric sciences; Flux (metallurgy); Meteorology; Ecosystem; Geography; Physics","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":[0.0005175479,0.0002517219,0.0001254463,0.001219306,0.0002285598,0.0006387444,0.0003201334,0.0003436933,0.00211304],"category_scores_gemma":[0.002350778,0.0001826186,0.0002970443,0.002591021,0.0002287225,0.0004459611,0.0004054163,0.0002303931,0.0004661641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007063851,"about_ca_system_score_gemma":0.0009021836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772923,"about_ca_topic_score_gemma":0.03339455,"domain_scores_codex":[0.999777,0.00003555626,0.00001573973,0.00006939592,0.00007043344,0.00003181721],"domain_scores_gemma":[0.9987409,0.000229514,0.0001328838,0.0003197104,0.0005416474,0.00003545105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009846083,0.000221464,0.4528177,0.0005089032,0.0004522625,0.0004344606,0.0006313942,0.3334459,0.02788593,0.02394063,0.01856012,0.1401166],"study_design_scores_gemma":[0.0001053845,0.00002392393,0.6112449,0.00006633859,0.000107761,0.0001118779,0.0003215782,0.3496954,0.0205143,0.005542805,0.01220068,0.00006511005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207434,0.0002138547,0.01948121,0.0004335793,0.000201889,0.00005866872,0.03819631,0.001175983,0.01949514],"genre_scores_gemma":[0.9891452,0.00009107131,0.002779459,0.00001202886,0.00001855794,0.00001621593,0.006732822,0.00008362116,0.001121149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02772923,"threshold_uncertainty_score":0.05513567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005250840121283328,"score_gpt":0.1936811420858367,"score_spread":0.1884303019645534,"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."}}