{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006850155,0.0001182336,0.0001670908,0.00001714189,0.00002812179,0.00006601829,0.0001666719,0.0002411343,0.0007122837],"category_scores_gemma":[0.00002549371,0.0001851269,0.00003193606,0.00003947686,0.00005083012,1.626264e-7,0.000136028,0.00005250052,0.0000847423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007522839,"about_ca_system_score_gemma":0.00006234954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02119775,"about_ca_topic_score_gemma":0.1315084,"domain_scores_codex":[0.9992728,0.00002063137,0.0001168025,0.0003306089,0.00009642858,0.0001627724],"domain_scores_gemma":[0.9994419,0.000001975478,0.00009215581,0.0003655456,0.00004173768,0.00005668591],"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":[0.000002287268,0.00001750917,0.0009021164,0.00001486628,0.00008507893,0.000003467426,0.000002434831,5.490909e-7,0.003248572,0.000002059827,0.9943342,0.001386914],"study_design_scores_gemma":[0.0002657427,0.00007049566,0.001869562,0.0000179745,0.00002728968,0.000006356017,0.000006381001,5.239414e-7,0.00007384647,0.00007655763,0.9973642,0.0002210379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1653734,0.0597767,0.0001796689,0.0002735345,0.00623686,0.002529741,0.1110371,0.0002196798,0.6543733],"genre_scores_gemma":[0.01088754,0.002671348,0.0008366352,0.0004676363,0.001908737,0.00004697454,0.03014204,0.0005572449,0.9524819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2981085,"threshold_uncertainty_score":0.9853202,"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."}}