{"id":"W6948521741","doi":"10.5063/f13f4mzc","title":"York University Tree Inventory","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Census; Tree (set theory); Block (permutation group theory); Metropolitan area; Geographic coordinate system; Table (database); University campus","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00082254,0.0006346947,0.0006972961,0.004233374,0.002396881,0.001743648,0.001733206,0.0004156875,0.1106427],"category_scores_gemma":[0.002784183,0.000514492,0.0002788116,0.007095713,0.0004062343,0.001372329,0.001206402,0.001076241,0.02527912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00497895,"about_ca_system_score_gemma":0.006408277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5050483,"about_ca_topic_score_gemma":0.7758215,"domain_scores_codex":[0.9991866,0.00006253106,0.00007238541,0.0001706044,0.0003942918,0.0001135597],"domain_scores_gemma":[0.9972229,0.000170266,0.0001692718,0.0002434584,0.001978364,0.0002157233],"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":[0.0001201047,0.00009647277,0.03663415,0.0003442058,0.00003259866,0.0001320547,0.00218134,0.0005089047,0.0005531392,0.007355939,0.8492917,0.1027494],"study_design_scores_gemma":[0.00001471789,0.00002319604,0.08658701,0.0001727047,0.00001491348,0.00006114782,0.001482218,0.0004885966,0.0001169585,0.0006835603,0.9103193,0.00003555517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07876811,0.0016872,0.006444525,0.000810598,0.0003175478,0.00219447,0.6654775,0.0009574306,0.2433426],"genre_scores_gemma":[0.07448579,0.002467237,0.02374186,0.0003871084,0.000116229,0.003939311,0.6802764,0.0005281714,0.2140578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5050483,"threshold_uncertainty_score":0.9957332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395256081036638,"score_gpt":0.2317001864097622,"score_spread":0.1977476255993958,"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."}}