{"id":"W6887084576","doi":"10.15468/dl.m596hy","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","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":[0.001089245,0.001909841,0.001632606,0.005170828,0.001007156,0.002815795,0.002893264,0.00197082,0.1722389],"category_scores_gemma":[0.006765648,0.0009535049,0.001146469,0.0104828,0.0004478123,0.002405063,0.002677025,0.002005033,0.2297715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581896,"about_ca_system_score_gemma":0.002405543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049019,"about_ca_topic_score_gemma":0.03305127,"domain_scores_codex":[0.998865,0.0001543946,0.0001551758,0.000393544,0.0002509683,0.0001809333],"domain_scores_gemma":[0.9972906,0.0008048804,0.0002550372,0.000685358,0.0006612364,0.0003029759],"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":[0.00002863805,0.000009848519,0.000355352,0.0005579744,0.00001515873,0.00001516411,0.00002436681,0.0001124482,0.000108463,0.0003956392,0.9970416,0.001335306],"study_design_scores_gemma":[0.00006689645,0.000006904081,0.001653511,0.0002005859,0.00001452519,0.00003594264,0.00007355067,0.000128231,0.0001721027,0.000752668,0.996878,0.00001713963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003353884,0.00002295106,0.00004326459,0.00003223868,0.00001075605,0.000004528633,0.9989484,0.0003172514,0.0005871021],"genre_scores_gemma":[0.0001472568,0.00003325714,0.0001884255,0.00004140079,0.000003293553,0.0000405751,0.9989404,0.0001561541,0.0004492715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277611,"threshold_uncertainty_score":0.5761964,"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."}}