{"id":"W4312205501","doi":"10.3390/ijgi12010006","title":"Canopy Assessment of Cycling Routes: Comparison of Videos from a Bicycle-Mounted Camera and GPS and Satellite Imagery","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Global Positioning System; Normalized Difference Vegetation Index; Remote sensing; Vegetation (pathology); Canopy; Cycling; Satellite; Satellite imagery; Computer science; Software; Environmental science; Tree canopy; Geography; Forestry; Leaf area index; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003192158,0.0003767461,0.000237129,0.003315585,0.0001942033,0.0007282672,0.0002990319,0.0003546706,0.001523464],"category_scores_gemma":[0.001385571,0.0001368381,0.0002169516,0.001857251,0.0001541611,0.0005890078,0.0004019022,0.000151069,0.0003618216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000352855,"about_ca_system_score_gemma":0.0003943175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0381362,"about_ca_topic_score_gemma":0.08958616,"domain_scores_codex":[0.9997247,0.00003371695,0.0000150245,0.00007193813,0.00009736821,0.00005723998],"domain_scores_gemma":[0.99939,0.0001259412,0.0001221173,0.00003747311,0.0002624302,0.00006194296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009929875,0.0003726654,0.5188126,0.001130344,0.0003379335,0.001083651,0.003500829,0.006788263,0.06906721,0.000430092,0.006032044,0.3914515],"study_design_scores_gemma":[0.00001049026,0.0001363197,0.9782965,0.00006699262,0.00006053918,0.0003911532,0.001400207,0.01199995,0.004599173,0.00006764348,0.002943183,0.00002776594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868401,0.000414972,0.004709091,0.00003440573,0.00001929703,0.00007772968,0.00317627,0.0002565697,0.004471465],"genre_scores_gemma":[0.9827406,0.0003752799,0.01025962,0.00002181573,0.00001752699,0.00003574387,0.005472988,0.00005442695,0.001022045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0381362,"threshold_uncertainty_score":0.07582849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056320745758027,"score_gpt":0.3113776191338301,"score_spread":0.3008144116762498,"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."}}