{"id":"W6924557839","doi":"10.15468/dl.sc5rxn","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); R package","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":[0.001120668,0.001948775,0.001630738,0.00497842,0.001060813,0.002729171,0.002947643,0.002043596,0.1723704],"category_scores_gemma":[0.006428059,0.0009496594,0.001136854,0.009825379,0.000446155,0.002402085,0.00266612,0.002092255,0.2365549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169471,"about_ca_system_score_gemma":0.00243931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224766,"about_ca_topic_score_gemma":0.03699947,"domain_scores_codex":[0.9989157,0.0001437733,0.0001369667,0.0003743694,0.0002509262,0.0001783397],"domain_scores_gemma":[0.9974111,0.0007361193,0.0002383759,0.0006648667,0.0006585065,0.0002911293],"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":[0.00002708734,0.0000104657,0.0003433916,0.0004953882,0.00001393527,0.00001411322,0.00002364196,0.0001098927,0.0001150644,0.0004087037,0.9971176,0.001320676],"study_design_scores_gemma":[0.00006326601,0.000006643123,0.00164056,0.0001793297,0.00001299859,0.00003251801,0.00006659643,0.0001311761,0.0001824214,0.0007581506,0.9969092,0.00001711245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003399112,0.00002201833,0.0000466944,0.00003273926,0.00001074793,0.00000476644,0.9988061,0.0003721309,0.0006708016],"genre_scores_gemma":[0.0001431598,0.00002915079,0.0001979007,0.00004105365,0.000003088054,0.00004098378,0.9989048,0.0001702651,0.0004694818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276296,"threshold_uncertainty_score":0.5766363,"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."}}