{"id":"W7062178934","doi":"","title":"Street tree density and distribution: an international comparative analysis of five cities","year":2020,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situated; Distribution (mathematics); Geospatial analysis; Urban climate; Urbanization; Capital city; Range (aeronautics); Urban planning; Urban ecosystem; Urban density","routes":{"ca_aff":false,"ca_fund":false,"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":[0.000900056,0.0001892764,0.0002197894,0.005727034,0.001235149,0.001654061,0.0003857906,0.0002462453,0.001852557],"category_scores_gemma":[0.002018484,0.0001802798,0.000264415,0.01189277,0.001224482,0.00126053,0.001415591,0.0003832746,0.0002072217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468404,"about_ca_system_score_gemma":0.000782117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1248049,"about_ca_topic_score_gemma":0.2884924,"domain_scores_codex":[0.9993572,0.0001972524,0.00004298049,0.0001371099,0.000126765,0.0001387552],"domain_scores_gemma":[0.9982862,0.0003964885,0.0004732461,0.0001805495,0.0004837099,0.0001797417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002480454,0.0001000804,0.9391491,0.0001302998,0.0001293267,0.0002728429,0.02977346,0.0005593482,0.0006689943,0.003355211,0.001886043,0.02372739],"study_design_scores_gemma":[0.000002979677,0.00002600772,0.980262,0.00002635261,0.00002631158,0.00006615607,0.01717336,0.0001772596,0.0001134894,0.00009487044,0.002020155,0.00001096077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959958,0.0001788318,0.0001222422,0.00003740038,0.000002971098,0.000009867317,0.0007569753,0.000003406393,0.002892606],"genre_scores_gemma":[0.9980573,0.0002182595,0.0002471299,0.00001033106,0.000003934415,0.00001505732,0.001119589,0.000005510636,0.0003229283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248049,"threshold_uncertainty_score":0.248157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373041619894577,"score_gpt":0.2525014683450057,"score_spread":0.2287710521460599,"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."}}