{"id":"W3092461372","doi":"","title":"Toronto’s heritage trees: A Living Seed Bank for Forest Restoration","year":2020,"lang":"en","type":"other","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Agroforestry; Environmental science","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":[0.0008383244,0.0003157014,0.0002127903,0.001974035,0.003436675,0.002306153,0.0006952066,0.0003182346,0.03177721],"category_scores_gemma":[0.001846521,0.0002438852,0.0001603833,0.003034393,0.0007531691,0.001122343,0.001431296,0.0003960068,0.005149383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008245354,"about_ca_system_score_gemma":0.01289492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6214767,"about_ca_topic_score_gemma":0.905595,"domain_scores_codex":[0.9996333,0.00005588726,0.00001956861,0.00004728809,0.0001703402,0.00007362921],"domain_scores_gemma":[0.9972894,0.0002549564,0.0001883683,0.0003040808,0.0008574722,0.00110569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002229393,0.00007810032,0.1017343,0.0008543603,0.0000297228,0.001711334,0.03543309,0.0005416558,0.006824555,0.01158672,0.5117317,0.3292516],"study_design_scores_gemma":[0.00001122211,0.00003203862,0.1131884,0.0001582269,0.00001839325,0.0003383567,0.01498148,0.0005150228,0.0009442865,0.0004726679,0.8693069,0.0000329561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4216841,0.005437462,0.01951249,0.007990781,0.0007471091,0.001212228,0.1189419,0.003199589,0.4212743],"genre_scores_gemma":[0.6334505,0.003774194,0.06002335,0.0006669257,0.0001473694,0.0005407567,0.05888293,0.0009300401,0.2415838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3785233,"threshold_uncertainty_score":0.7615051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015568854815196,"score_gpt":0.2886448219658759,"score_spread":0.2484891334177239,"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."}}