{"id":"W6962129743","doi":"10.15468/dl.tv2maw","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; R package","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001057234,0.001858821,0.001542463,0.004823656,0.0009694333,0.002491839,0.002760115,0.002111195,0.1447406],"category_scores_gemma":[0.005861538,0.000898929,0.001200559,0.009519648,0.0004520051,0.002186358,0.002421098,0.002017959,0.2030457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616705,"about_ca_system_score_gemma":0.002383895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266728,"about_ca_topic_score_gemma":0.03606551,"domain_scores_codex":[0.9989313,0.0001473832,0.0001370088,0.0003722683,0.0002368032,0.0001751285],"domain_scores_gemma":[0.9974151,0.0007558455,0.0002451936,0.0006708264,0.0006269107,0.000286148],"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":[0.00002984456,0.00001285864,0.0004135246,0.0005351628,0.00001520558,0.00001493366,0.00002357767,0.0001338776,0.0001259894,0.0003815632,0.9969234,0.001390039],"study_design_scores_gemma":[0.00007712145,0.000009339937,0.002205289,0.0001977643,0.00001513433,0.00003761988,0.00007801982,0.0001555165,0.000205568,0.0007671643,0.9962326,0.00001890849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004245513,0.00002402584,0.00003977697,0.00003516966,0.00001100169,0.000005092355,0.9989684,0.0003170076,0.0005570944],"genre_scores_gemma":[0.0001623395,0.00003071353,0.0001853634,0.00004229139,0.000003198095,0.00004114148,0.9989637,0.0001270355,0.0004441949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552594,"threshold_uncertainty_score":0.4842054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}