{"id":"W6924823203","doi":"10.15468/dl.zdkq97","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); State (computer science); Confidentiality","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":[0.00099904,0.001993009,0.0014768,0.004764308,0.0009860703,0.002498916,0.002808343,0.002141744,0.1481984],"category_scores_gemma":[0.005830301,0.0008649993,0.001139267,0.009044155,0.0004631887,0.00228198,0.002484123,0.002045412,0.20605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565541,"about_ca_system_score_gemma":0.002181754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007749,"about_ca_topic_score_gemma":0.03460224,"domain_scores_codex":[0.9989982,0.0001398127,0.0001240723,0.0003569406,0.0002164737,0.0001644004],"domain_scores_gemma":[0.9976291,0.0006894171,0.000223397,0.0006285828,0.0005523153,0.000277296],"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":[0.00002799272,0.00001241447,0.0003756567,0.000481977,0.00001404836,0.00001474234,0.00002291776,0.0001353974,0.000115916,0.0003665903,0.9971071,0.001325276],"study_design_scores_gemma":[0.00007649008,0.000008987821,0.001924579,0.0001803316,0.00001423044,0.00003972892,0.00007717188,0.000180693,0.0001954275,0.0007966757,0.9964875,0.00001816871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004847127,0.00002678676,0.00004506577,0.00003742799,0.00001333654,0.000005264806,0.998833,0.0003617221,0.0006289898],"genre_scores_gemma":[0.0001704513,0.00002907561,0.0001917534,0.00004380127,0.00000366789,0.00004094917,0.9989411,0.0001308328,0.000448339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518016,"threshold_uncertainty_score":0.495773,"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."}}