{"id":"W6886983177","doi":"10.15468/dl.m5qdkn","title":"Occurrence Download","year":2024,"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":[0.001039904,0.001834146,0.001583905,0.005197843,0.0009680765,0.002592332,0.002819555,0.002021568,0.1709176],"category_scores_gemma":[0.006393762,0.0009420585,0.001160001,0.009649602,0.0004512306,0.002354058,0.002834064,0.002000555,0.223945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508588,"about_ca_system_score_gemma":0.002409162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01841928,"about_ca_topic_score_gemma":0.03332863,"domain_scores_codex":[0.9988839,0.0001522175,0.0001527544,0.0003837199,0.0002420338,0.0001853504],"domain_scores_gemma":[0.9971241,0.0007875832,0.0002802403,0.0007731605,0.0007110968,0.0003238127],"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":[0.00003141146,0.00001171783,0.0003889671,0.0006152379,0.00001626908,0.00001545135,0.00002587797,0.0001095304,0.0001391119,0.0004175138,0.9967247,0.001504251],"study_design_scores_gemma":[0.00006799105,0.000007919339,0.001770539,0.0001970565,0.00001449815,0.00003533908,0.00006783671,0.0001132837,0.000197811,0.0007476633,0.9967625,0.00001744329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003666208,0.00002327146,0.00004252726,0.00003281063,0.00001074164,0.000005369608,0.998912,0.0003402813,0.0005963199],"genre_scores_gemma":[0.0001492276,0.00003271938,0.0002034783,0.00004714441,0.000003406509,0.00004326309,0.9989253,0.0001461294,0.0004493301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290824,"threshold_uncertainty_score":0.5717764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}