{"id":"W7161996377","doi":"10.82308/7780","title":"Modeling of urban tree growth with artificial intelligence and multivariate statistics","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental factor; Urban environment; Statistical analysis; Decision tree","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":[0.001368243,0.0009603688,0.0009629815,0.001052978,0.0003800194,0.001596652,0.001234781,0.0006782264,0.001293962],"category_scores_gemma":[0.002819802,0.0006669962,0.001688357,0.001728506,0.0006449989,0.0009279488,0.0007880796,0.001059253,0.0003087075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119187,"about_ca_system_score_gemma":0.00146668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04317238,"about_ca_topic_score_gemma":0.03178338,"domain_scores_codex":[0.9993249,0.0002937069,0.00004269665,0.0001275056,0.0001292002,0.00008200215],"domain_scores_gemma":[0.9985568,0.001032876,0.0001571657,0.00006886943,0.000140862,0.00004348771],"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":[0.00003082198,0.00002444382,0.002020965,0.00002756191,0.00005319216,0.00002224021,0.0000259739,0.9812729,0.0002412279,0.003102439,0.0002163086,0.0129619],"study_design_scores_gemma":[0.000001090629,0.000002966566,0.0002654181,0.000001236517,0.000002947377,0.000002450698,0.000002492274,0.9988223,0.00005061127,0.000747302,0.00009878136,0.000002390221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06039958,0.0004699415,0.9356281,0.0002512124,0.00004955236,0.0000554876,0.0004549542,0.0008992051,0.001791896],"genre_scores_gemma":[0.8109158,0.001080462,0.1814551,0.00007539551,0.0001291874,0.0002369053,0.000911693,0.0001597402,0.005035885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04317238,"threshold_uncertainty_score":0.08584219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370852154199401,"score_gpt":0.2695625085656352,"score_spread":0.2358539870236412,"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."}}