{"id":"W6887287381","doi":"10.15468/dl.w3mzz8","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); Data set","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":[0.001109589,0.002060179,0.001653449,0.00515862,0.001071512,0.002672506,0.002941343,0.002056512,0.1648682],"category_scores_gemma":[0.0062263,0.0009867497,0.001176277,0.0100172,0.0004507444,0.002363206,0.002631525,0.00210017,0.2281376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713528,"about_ca_system_score_gemma":0.002453379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02438239,"about_ca_topic_score_gemma":0.03913779,"domain_scores_codex":[0.9988887,0.0001454034,0.0001397318,0.0003861101,0.0002572491,0.0001828999],"domain_scores_gemma":[0.997424,0.0007317274,0.0002408464,0.0006756929,0.0006350138,0.0002926441],"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":[0.00002762534,0.00001066916,0.0003511362,0.0005217433,0.00001483366,0.00001481942,0.00002533485,0.0001174077,0.0001192595,0.0004014384,0.9970446,0.001351151],"study_design_scores_gemma":[0.00006385164,0.000006732237,0.001736884,0.0001804716,0.00001374081,0.00003402427,0.0000679491,0.0001321583,0.0001838716,0.0007177937,0.9968451,0.00001749159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003549005,0.00002315746,0.00004599618,0.00003139073,0.00001065117,0.000004635452,0.9988292,0.0003774246,0.0006420938],"genre_scores_gemma":[0.0001417392,0.00002955648,0.0001945368,0.00003862004,0.000002995279,0.00003904704,0.9989346,0.0001704604,0.0004483602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351318,"threshold_uncertainty_score":0.5515391,"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."}}