{"id":"W6924798183","doi":"10.15468/dl.v47sgz","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); Data set; Set (abstract data type)","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":[0.0009821507,0.001897683,0.001529924,0.005011941,0.0008677221,0.002431044,0.002619111,0.001904273,0.1611797],"category_scores_gemma":[0.006010705,0.0008577319,0.001172993,0.009791696,0.000430474,0.002207553,0.002485123,0.001829297,0.2197772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393366,"about_ca_system_score_gemma":0.002153067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014573,"about_ca_topic_score_gemma":0.03258185,"domain_scores_codex":[0.9989519,0.0001434749,0.0001363218,0.0003597672,0.0002365672,0.0001718215],"domain_scores_gemma":[0.9974425,0.0007124865,0.0002376489,0.0006871773,0.0006400449,0.0002800415],"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":[0.00003016691,0.00001080471,0.0003805521,0.0005467768,0.00001642369,0.00001468958,0.00002157647,0.0001423941,0.0001248434,0.0003543688,0.9968797,0.001477664],"study_design_scores_gemma":[0.00007644812,0.000009259362,0.002069852,0.0001939053,0.00001540531,0.00003523167,0.00007116872,0.0001625234,0.0001984056,0.0007887078,0.9963606,0.00001843349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003968709,0.00002460294,0.00004218935,0.00003188686,0.0000112014,0.000005090636,0.9988759,0.0003786552,0.0005908486],"genre_scores_gemma":[0.0001639182,0.00003049847,0.0001754348,0.00004059714,0.000003612189,0.00003808243,0.9989743,0.0001406446,0.0004328614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388203,"threshold_uncertainty_score":0.5391998,"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."}}