{"id":"W6929758281","doi":"10.5063/f1cn728g","title":"Campus ecology network biodiversity data: York University and The University of Toronto Mississauga","year":2020,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; University of Alberta","funders":"","keywords":"Transect; Species richness; Quadrat; Biodiversity; Vegetation (pathology); Habitat; Citizen science; Urban ecology","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":[0.0005953392,0.0005575922,0.0005538004,0.003765102,0.001610284,0.001847192,0.001271813,0.0004954467,0.01758859],"category_scores_gemma":[0.003658563,0.0004400274,0.0002321021,0.008608558,0.0003211477,0.0007077726,0.001467614,0.0005865985,0.006791643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008105272,"about_ca_system_score_gemma":0.009824808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9112962,"about_ca_topic_score_gemma":0.9479966,"domain_scores_codex":[0.9990244,0.00006764327,0.00008438436,0.0001969901,0.0004302739,0.0001962061],"domain_scores_gemma":[0.9928902,0.0002977161,0.0007721044,0.0007354117,0.003879657,0.001424868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003943864,0.00007350873,0.1474803,0.0004755876,0.000134627,0.0002722144,0.001384534,0.000988219,0.001231576,0.001225914,0.8217818,0.02455727],"study_design_scores_gemma":[0.00009654769,0.00004409538,0.5942733,0.0001474758,0.00004311312,0.00008011889,0.002125658,0.001402966,0.0007176535,0.000151638,0.4008532,0.00006417578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04974916,0.0002982813,0.0005066845,0.0004217315,0.00004513281,0.0001613159,0.9282998,0.0007563782,0.0197615],"genre_scores_gemma":[0.08941296,0.0002850537,0.001754274,0.0001151587,0.0000343147,0.0003225329,0.8937781,0.0001688304,0.01412875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08870381,"threshold_uncertainty_score":0.1784524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037978505907347,"score_gpt":0.2253570231290169,"score_spread":0.2049772380699434,"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."}}