{"id":"W6886999639","doi":"10.15468/dl.m9k2wu","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":"Funk; Matching (statistics); Sandbox (software development); Download","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":[0.0009827632,0.001999857,0.001586154,0.004827227,0.001203242,0.002811801,0.002872685,0.002110517,0.1775285],"category_scores_gemma":[0.006672227,0.0009931939,0.001148725,0.009810034,0.0004405693,0.002302738,0.002528029,0.002003418,0.2248248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094562,"about_ca_system_score_gemma":0.003116199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04310198,"about_ca_topic_score_gemma":0.0747399,"domain_scores_codex":[0.9989703,0.0001215929,0.000118445,0.0003678527,0.0002409602,0.0001808842],"domain_scores_gemma":[0.9971358,0.0008267352,0.0002243228,0.0007015902,0.0007793035,0.0003322768],"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":[0.00002354,0.000009746685,0.0003445948,0.0004294779,0.00001198596,0.00001298788,0.00002160498,0.00009597476,0.00008662629,0.0002898546,0.9974546,0.001218995],"study_design_scores_gemma":[0.00007240054,0.000006771729,0.001913479,0.0002004524,0.0000148052,0.00003405902,0.00007618937,0.0001656576,0.0001746689,0.0006463158,0.996677,0.00001818642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003579116,0.0000223578,0.00003934985,0.00003408188,0.00001054814,0.000005024479,0.9988701,0.0003578762,0.0006249421],"genre_scores_gemma":[0.0001476385,0.00003152165,0.0002087956,0.00004217182,0.000003364262,0.00004514488,0.9988247,0.0001657768,0.0005309451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224715,"threshold_uncertainty_score":0.593892,"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."}}