{"id":"W6904889554","doi":"10.14288/1.0400162","title":"Baselining UBC Vancouver Campus Urban Forest and Land Use : Developing and Validating Up-to-date Tree Inventory and Land Classification Map of the UBC Vancouver Campus","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest inventory; Land use; Orthophoto; Land cover; Land-use planning; Vegetation (pathology); Lidar; Urban forest","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":[0.001251335,0.0004682276,0.0003030549,0.002778365,0.001000085,0.002336335,0.000831186,0.0003786767,0.002295522],"category_scores_gemma":[0.00332286,0.0002479512,0.0003367364,0.003866688,0.0003363377,0.001002701,0.001098714,0.0006368197,0.002257424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780601,"about_ca_system_score_gemma":0.003431207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4010151,"about_ca_topic_score_gemma":0.6074482,"domain_scores_codex":[0.9986676,0.0001393326,0.00007456313,0.0002475519,0.0006804215,0.0001906325],"domain_scores_gemma":[0.9952412,0.0002074929,0.0002356276,0.0003653564,0.003722332,0.0002280655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001118235,0.0002757708,0.607539,0.0003746674,0.0001033758,0.0003763165,0.002199412,0.008559799,0.008004691,0.001246624,0.02806457,0.3431441],"study_design_scores_gemma":[0.00002003272,0.00006145763,0.8415082,0.0003483818,0.00006118231,0.0001449767,0.00591272,0.06649261,0.007576343,0.0007577532,0.07703191,0.00008440044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534922,0.0008260523,0.06443873,0.0004059457,0.0001909209,0.001028904,0.03585877,0.003088782,0.04066972],"genre_scores_gemma":[0.8180074,0.0006881158,0.1233569,0.0001685217,0.00003739924,0.0007880151,0.04515487,0.0005355491,0.01126304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5989848,"threshold_uncertainty_score":0.7973619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685422745706339,"score_gpt":0.1934401317198797,"score_spread":0.1765859042628163,"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."}}