{"id":"W6943466693","doi":"10.15468/dl.v4gujg","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009355895,0.002070708,0.001611272,0.005169389,0.0009877637,0.002663993,0.002772957,0.001928468,0.1611453],"category_scores_gemma":[0.005953078,0.0009619119,0.001202196,0.0104957,0.0004095009,0.00244517,0.002578076,0.001943128,0.2291632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538828,"about_ca_system_score_gemma":0.00229365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975829,"about_ca_topic_score_gemma":0.03427717,"domain_scores_codex":[0.9988676,0.0001540134,0.0001507428,0.0004015331,0.0002462453,0.0001798634],"domain_scores_gemma":[0.9974612,0.0006868678,0.0002379849,0.0006704461,0.000664196,0.0002793575],"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":[0.00003481341,0.00001165064,0.0003590777,0.0005604371,0.00001516509,0.0000142316,0.00002036975,0.0001126907,0.0001198194,0.0003892232,0.9968683,0.001494157],"study_design_scores_gemma":[0.00006872277,0.000008483277,0.001716157,0.0001716696,0.00001393716,0.00003368918,0.0000557906,0.0001277038,0.0001694851,0.0007813492,0.9968353,0.00001773714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003832636,0.00002673655,0.00004063883,0.0000310567,0.00001094303,0.00000484955,0.998843,0.0003385704,0.0006658475],"genre_scores_gemma":[0.0001413849,0.00003480775,0.0001854818,0.0000461137,0.000003546137,0.00003829401,0.9989101,0.0001347456,0.0005054316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388547,"threshold_uncertainty_score":0.5390846,"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."}}