{"id":"W6905944259","doi":"10.15468/dl.t7g2cv","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.0009959248,0.002026754,0.001609598,0.004791803,0.0009886421,0.002507877,0.002799918,0.002124194,0.1440978],"category_scores_gemma":[0.005842237,0.0008902564,0.00133563,0.009294053,0.0004462839,0.002190144,0.002505778,0.002004293,0.2132013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533037,"about_ca_system_score_gemma":0.002273938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167596,"about_ca_topic_score_gemma":0.03558498,"domain_scores_codex":[0.9989518,0.0001475326,0.0001310321,0.0003654773,0.0002322233,0.0001719229],"domain_scores_gemma":[0.9975637,0.000708929,0.0002141812,0.000654701,0.000586096,0.0002722815],"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":[0.00003051213,0.00001303876,0.0004117241,0.0005444456,0.00001598574,0.00001609994,0.00002346852,0.0001344999,0.0001196293,0.0003414314,0.9969077,0.00144156],"study_design_scores_gemma":[0.00008302907,0.00001070925,0.002246977,0.0002104438,0.00001691484,0.00004347483,0.00008234579,0.0001895551,0.0002139965,0.0007907182,0.9960926,0.00001919878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005119921,0.00003096352,0.00004577167,0.0000395147,0.00001346057,0.000005928932,0.9987821,0.000424911,0.0006062577],"genre_scores_gemma":[0.0001644778,0.00003239736,0.0001867557,0.00004355856,0.000003503356,0.00004108645,0.9989758,0.0001316695,0.0004209183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559022,"threshold_uncertainty_score":0.4820552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}