{"id":"W6943711466","doi":"10.15468/dl.xwv3sc","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)","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":[0.001048067,0.001945041,0.00157382,0.00511973,0.0009952063,0.002558378,0.002835622,0.002092728,0.1590788],"category_scores_gemma":[0.006202477,0.0008888287,0.001161787,0.00964932,0.0004613015,0.002342642,0.002560653,0.002059349,0.2183629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596878,"about_ca_system_score_gemma":0.002285771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009705,"about_ca_topic_score_gemma":0.03312734,"domain_scores_codex":[0.9989367,0.0001513487,0.0001348035,0.0003747084,0.0002254219,0.0001769581],"domain_scores_gemma":[0.9974617,0.0007469996,0.0002455992,0.000655356,0.0005897147,0.0003007526],"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":[0.00002731781,0.00001136839,0.0003524763,0.0004928938,0.00001384458,0.00001360901,0.00002128741,0.000123547,0.00009878076,0.0003602941,0.9972039,0.001280761],"study_design_scores_gemma":[0.00007837433,0.000008849317,0.001822357,0.0001954218,0.0000145524,0.00003770665,0.00007598112,0.0001671874,0.0001744172,0.0008175166,0.9965895,0.00001813702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004237447,0.00002748627,0.00004353742,0.00003782481,0.00001282854,0.000005248203,0.9988986,0.0003365033,0.0005955945],"genre_scores_gemma":[0.0001617762,0.00003215854,0.000189394,0.00004613999,0.000003836507,0.0000439998,0.9989297,0.0001321286,0.0004608854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409212,"threshold_uncertainty_score":0.5321717,"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."}}