{"id":"W3214416924","doi":"10.1093/jofore/fvab053","title":"Connecting Forestry Learning Objectives to Urban Forest Types","year":2021,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Urban forestry; Forestry; Urban forest; Canopy; Geography; Forest cover; Tree (set theory); Tree canopy; Curriculum; Environmental resource management; Agroforestry; Environmental science; Ecology; Sociology; Pedagogy; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003122053,0.0001218907,0.0002278499,0.00005434476,0.0001905546,0.00005102369,0.000256915,0.00008350547,0.0006584559],"category_scores_gemma":[0.000511064,0.0001070823,0.0001196984,0.0002694425,0.00003808683,0.0002721536,0.000200055,0.0004849281,0.0001484817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505376,"about_ca_system_score_gemma":0.00008907817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009539689,"about_ca_topic_score_gemma":0.0009822879,"domain_scores_codex":[0.9987701,0.00006109344,0.0003322481,0.0001715213,0.0003509107,0.0003141151],"domain_scores_gemma":[0.9991198,0.0001091259,0.0002635192,0.0001932219,0.00004663769,0.0002676936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003369236,0.00004929853,0.9848579,0.0000107204,0.00002109973,0.0002107547,0.0007377354,0.006205905,0.001531585,0.0001151817,0.004656468,0.001569684],"study_design_scores_gemma":[0.0004076994,0.0004212558,0.9757788,0.00009632777,0.00003650583,0.0005507966,0.001905813,0.00025464,0.0007665329,0.000999803,0.01859735,0.0001845222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926907,0.000256488,0.0006433474,0.0007687566,0.0002411995,0.00006558852,0.0000011617,0.00001506949,0.005317674],"genre_scores_gemma":[0.9938,0.00002996772,0.004393391,0.0002799254,0.000378037,0.000001848781,0.000001179649,0.00001988569,0.001095807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394088,"threshold_uncertainty_score":0.720963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323900702435989,"score_gpt":0.2604344573805211,"score_spread":0.2471954503561612,"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."}}