{"id":"W4417455394","doi":"10.2139/ssrn.5936345","title":"Applying Protection Motivation Theory to assess collaboration, urban tree risks and storm management in the U.S","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Preparedness; Emergency management; Context (archaeology); Storm; Corporate governance; Vulnerability (computing); Urban forestry; Forest management","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":[0.003783813,0.0002549716,0.0002629799,0.002523781,0.001602058,0.001925566,0.0003828747,0.0008197904,0.003151535],"category_scores_gemma":[0.01030394,0.0001388906,0.0003949107,0.003237557,0.001180105,0.001397099,0.002059032,0.0008592595,0.000225337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002707866,"about_ca_system_score_gemma":0.00374422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04652886,"about_ca_topic_score_gemma":0.06823368,"domain_scores_codex":[0.9984097,0.0009888941,0.00005042641,0.0001097807,0.0001942494,0.0002468094],"domain_scores_gemma":[0.9903538,0.00505583,0.002072838,0.0002798253,0.0009846194,0.001253033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008940688,0.000471711,0.9705749,0.00002004364,0.00008973712,0.00005269952,0.003008584,0.003116572,0.00009858139,0.007188476,0.001079997,0.01420941],"study_design_scores_gemma":[0.00005140085,0.0005459706,0.9349521,0.00008046671,0.00008128218,0.00003533547,0.0304734,0.01939693,0.0002197031,0.01238832,0.00175481,0.00002023862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955997,0.00004287872,0.0003447414,0.0004106392,0.000003857517,0.0000144549,0.00007136601,0.000002903516,0.003509348],"genre_scores_gemma":[0.9996206,0.00002480097,0.0001684862,0.00002380596,0.000001645749,0.00001299641,0.00003354144,5.546332e-7,0.0001135511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04652886,"threshold_uncertainty_score":0.09251612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815621678442344,"score_gpt":0.2965395918448831,"score_spread":0.2583833750604597,"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."}}