{"id":"W6962303121","doi":"10.15468/dl.x5mam6","title":"Occurrence Download","year":2022,"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); Set (abstract data type); Data set","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":[0.001154975,0.001930196,0.001643964,0.005275005,0.001079382,0.002831715,0.002999504,0.002062848,0.1750259],"category_scores_gemma":[0.006760859,0.0009788764,0.001167629,0.01036504,0.0004703931,0.002450363,0.00263851,0.00209545,0.2472464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642813,"about_ca_system_score_gemma":0.002504601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107907,"about_ca_topic_score_gemma":0.03532051,"domain_scores_codex":[0.998808,0.00016242,0.0001569868,0.0004157187,0.0002685128,0.0001884536],"domain_scores_gemma":[0.9972336,0.0007869008,0.0002562017,0.0007237105,0.0006864537,0.0003132264],"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":[0.00002524626,0.000009685843,0.0003228536,0.00047021,0.00001334121,0.00001332285,0.00002197413,0.0001024075,0.0001034569,0.0003783576,0.9972785,0.001260577],"study_design_scores_gemma":[0.00006038704,0.000006552984,0.001551207,0.000178904,0.00001297439,0.00003397254,0.00006801188,0.0001214344,0.0001678341,0.0007428594,0.9970394,0.0000164717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003438125,0.00002532802,0.00004690508,0.00003535544,0.00001193605,0.000004857097,0.9988199,0.0003568059,0.0006645314],"genre_scores_gemma":[0.0001412093,0.00003208971,0.0001943773,0.00004298188,0.000003378633,0.00003930439,0.9989176,0.000158991,0.0004700951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249741,"threshold_uncertainty_score":0.58552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}