{"id":"W7132946700","doi":"","title":"High-Resolution Urban Vegetation Gross Primary Productivity Simulation via Plant Functional Type Unmixing: A Case Study in Toronto, Canada","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Vegetation (pathology); Primary production; Productivity; Urban ecosystem; Ecosystem; Vegetation type; Temporal resolution; Urban area","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003829545,0.000779293,0.0003845816,0.0005359243,0.00138508,0.001034872,0.001165563,0.0007217629,0.001540976],"category_scores_gemma":[0.0008773935,0.0003323434,0.0005598312,0.001857903,0.000736927,0.0003296746,0.0004224336,0.0005300215,0.0001408801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01513745,"about_ca_system_score_gemma":0.008401413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842589,"about_ca_topic_score_gemma":0.9859967,"domain_scores_codex":[0.9997664,0.00003274087,0.000008945106,0.00005456175,0.00004790909,0.00008948634],"domain_scores_gemma":[0.9995536,0.0001515345,0.00002432429,0.00002622609,0.0001840234,0.0000603621],"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":[0.0002710223,0.0002520829,0.07163429,0.000106817,0.0001133588,0.001139451,0.0003139156,0.9048809,0.002131887,0.001888857,0.00343888,0.0138285],"study_design_scores_gemma":[0.00004280914,0.00002630133,0.03744354,0.00001207803,0.00002759141,0.00002928037,0.0004507352,0.9603185,0.0005879359,0.0001541705,0.0008788688,0.00002824572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896422,0.0001637831,0.003412985,0.0001943595,0.00001156871,0.00006661076,0.002153412,0.0001605569,0.004194608],"genre_scores_gemma":[0.9938766,0.00009261394,0.003337352,0.0000232111,0.000003564548,0.00001565851,0.001294979,0.00002118225,0.001334838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574111,"threshold_uncertainty_score":0.1098304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515620488147178,"score_gpt":0.2680118722500364,"score_spread":0.2528556673685646,"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."}}