{"id":"W6948178900","doi":"10.5061/dryad.bf486/1","title":"British Columbia High Elevation Bird Dataset","year":2015,"lang":"en","type":"other","venue":"DRYAD","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Vegetation (pathology); Digital elevation model","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":[0.0004820996,0.001143656,0.0005668017,0.002767048,0.001039844,0.001395959,0.001289823,0.0005466845,0.0886427],"category_scores_gemma":[0.002047484,0.0004222005,0.0004165942,0.004232882,0.0002537949,0.0003396089,0.0009650481,0.0008114881,0.05666708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650467,"about_ca_system_score_gemma":0.003653388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5361001,"about_ca_topic_score_gemma":0.7743803,"domain_scores_codex":[0.9997296,0.0000216384,0.00001305687,0.00007563891,0.00008837906,0.00007160883],"domain_scores_gemma":[0.9988813,0.0001241436,0.00009084175,0.0002477797,0.0004344745,0.0002214648],"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":[0.00008448523,0.00001460751,0.00299576,0.0001399237,0.00003180921,0.00002960847,0.0000282255,0.0002843784,0.000159632,0.00030837,0.9897929,0.00613026],"study_design_scores_gemma":[0.00009054031,0.000005921213,0.02945228,0.0001208698,0.00003289474,0.00004453298,0.00008876176,0.0006778661,0.0003904974,0.0004756767,0.9685948,0.00002535693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001040168,0.0001102138,0.0001616939,0.00004507689,0.0000215054,0.00001443163,0.9935912,0.0003806198,0.004635232],"genre_scores_gemma":[0.003132508,0.00009855947,0.000672192,0.00004942892,0.000008579504,0.00007345416,0.9844902,0.0002135483,0.01126155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4638999,"threshold_uncertainty_score":0.9332638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0093130042375331,"score_gpt":0.2220416095452474,"score_spread":0.2127286053077143,"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."}}