{"id":"W6905827243","doi":"10.15468/dl.tjtutm","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); Download; Range (aeronautics); State (computer science); 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":[0.0009339222,0.002049979,0.001574128,0.005210114,0.001016551,0.002513073,0.002819021,0.001936603,0.1694181],"category_scores_gemma":[0.005720382,0.0009591659,0.001157582,0.0104775,0.0004497257,0.002275837,0.002660224,0.001961117,0.2345595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525743,"about_ca_system_score_gemma":0.002300671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986405,"about_ca_topic_score_gemma":0.03433177,"domain_scores_codex":[0.998922,0.0001456283,0.0001344981,0.0003898311,0.0002285584,0.0001796099],"domain_scores_gemma":[0.997557,0.0006614298,0.0002386879,0.0006421977,0.0006124294,0.0002882507],"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":[0.00003064773,0.00001105257,0.0003567428,0.0005096401,0.00001373906,0.00001381112,0.00002201261,0.0001136874,0.0001205264,0.0003749383,0.9970556,0.001377699],"study_design_scores_gemma":[0.00006910382,0.000008821776,0.001764754,0.0001673267,0.00001349624,0.00003616997,0.00006492199,0.0001236569,0.0001843774,0.0007645682,0.9967849,0.00001784196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004318046,0.00002573628,0.00004193672,0.00003051828,0.00001206739,0.000004552076,0.998839,0.0003386932,0.0006644449],"genre_scores_gemma":[0.0001459434,0.00003185848,0.0001850124,0.00004272212,0.000003487688,0.00003855917,0.9988955,0.0001499422,0.0005069102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305819,"threshold_uncertainty_score":0.5667599,"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."}}