{"id":"W4307003192","doi":"10.1016/j.ufug.2022.127760","title":"Private trees contribute uniquely to urban forest diversity, structure and service-based traits","year":2022,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban forestry; Urban forest; Diversity (politics); Geography; Service (business); Forestry; Agroforestry; Ecology; Business; Biology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000509199,0.0003308841,0.0003840277,0.0008763566,0.0007496704,0.001358123,0.0003164918,0.0004326379,0.004816369],"category_scores_gemma":[0.002051374,0.00019067,0.0003552137,0.001127678,0.0007324685,0.0005793419,0.0009934296,0.0005208366,0.0004426082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298183,"about_ca_system_score_gemma":0.0003115096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948039,"about_ca_topic_score_gemma":0.01485019,"domain_scores_codex":[0.9994325,0.0001690672,0.000020865,0.0001710474,0.00008054425,0.000126],"domain_scores_gemma":[0.9970236,0.0009425784,0.0008618149,0.0003530587,0.0001843683,0.0006345347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002045594,0.00006993057,0.9807253,0.00001317343,0.0001343292,0.0001263469,0.0005298904,0.0003262895,0.01051452,0.0005350818,0.00008566494,0.006734855],"study_design_scores_gemma":[0.000001730116,0.00003966216,0.997844,0.000003276872,0.00002473768,0.0001911377,0.0004913459,0.0003891196,0.0002686681,0.0005272807,0.0002132354,0.000005682276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984056,0.00003972159,0.0003884717,0.00001393055,0.000002164034,0.000001896083,0.0001100568,0.000004372536,0.00103386],"genre_scores_gemma":[0.9993888,0.00001251374,0.0001516106,0.000004328706,0.000002301029,0.000001395431,0.00006738922,0.000007215237,0.0003643991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004816369,"threshold_uncertainty_score":0.01611239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410473872018868,"score_gpt":0.2143806677590207,"score_spread":0.200275929038832,"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."}}