{"id":"W6906039802","doi":"10.15468/dl.z2ku2n","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); Order (exchange)","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":[0.001147742,0.001929343,0.00168725,0.005443489,0.001064507,0.00288041,0.002966953,0.00209947,0.1776854],"category_scores_gemma":[0.006799944,0.001008869,0.001195342,0.01062736,0.0004633419,0.002492639,0.002703511,0.002100385,0.2359397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615379,"about_ca_system_score_gemma":0.002417947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057084,"about_ca_topic_score_gemma":0.03424288,"domain_scores_codex":[0.9988101,0.0001607744,0.0001617784,0.0004186496,0.0002618813,0.0001869296],"domain_scores_gemma":[0.9971795,0.0008318978,0.0002688656,0.0007222468,0.000684045,0.0003134673],"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":[0.00002900118,0.00001051576,0.0003629484,0.0005733157,0.00001574549,0.00001465129,0.00002507986,0.0001138731,0.0001160533,0.0004012001,0.9969583,0.001379347],"study_design_scores_gemma":[0.00006667236,0.000006984735,0.001688769,0.0002038692,0.00001510247,0.00003491062,0.00007162881,0.0001301346,0.0001713215,0.0007609567,0.9968321,0.00001761554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003292161,0.00002336668,0.00004483547,0.00003173818,0.00001113017,0.000004544527,0.9989271,0.0003294078,0.0005949727],"genre_scores_gemma":[0.0001425813,0.00003298377,0.0001991674,0.00004308957,0.000003355101,0.00004032333,0.9989129,0.0001633864,0.0004620833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223146,"threshold_uncertainty_score":0.5944167,"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."}}