{"id":"W6962057539","doi":"10.15468/dl.tprqbc","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); Order (exchange); State (computer science)","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":[0.0009689904,0.001974551,0.001617805,0.004744556,0.0009752436,0.002496686,0.002837812,0.002049036,0.1497499],"category_scores_gemma":[0.005633788,0.0009015597,0.001162967,0.009570408,0.0004327179,0.00229859,0.002505018,0.002002753,0.2127765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469139,"about_ca_system_score_gemma":0.002179563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957161,"about_ca_topic_score_gemma":0.03513724,"domain_scores_codex":[0.998982,0.0001343805,0.0001294767,0.0003495672,0.0002405021,0.0001639902],"domain_scores_gemma":[0.9976531,0.0006314404,0.0002149495,0.0006400296,0.0005819588,0.0002786703],"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":[0.00002810868,0.000011661,0.0003633066,0.000473599,0.00001432934,0.0000138076,0.00002136589,0.0001311649,0.0001146809,0.0003567121,0.9970394,0.001431783],"study_design_scores_gemma":[0.00007345907,0.000008359775,0.001933246,0.0001811928,0.00001423345,0.00003717027,0.00007333504,0.0001686063,0.0001998793,0.0008069629,0.9964858,0.00001776634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004277456,0.00002479628,0.00004520885,0.00003282662,0.00001157577,0.000004998285,0.9988558,0.0003602807,0.0006216125],"genre_scores_gemma":[0.0001456607,0.00002828189,0.0001913846,0.0000378948,0.000003080523,0.00003689797,0.9990007,0.0001270669,0.0004290655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502501,"threshold_uncertainty_score":0.5009634,"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."}}