{"id":"W6962437766","doi":"10.15468/dl.wry2r9","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); 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":[0.0009567546,0.001940556,0.001508509,0.004795879,0.001018519,0.002607086,0.002719456,0.002119184,0.166745],"category_scores_gemma":[0.00633582,0.0008867406,0.001249462,0.008873967,0.0004423452,0.002476007,0.002558695,0.002013202,0.2320238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540949,"about_ca_system_score_gemma":0.002248279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166763,"about_ca_topic_score_gemma":0.03557433,"domain_scores_codex":[0.9989806,0.000146232,0.0001208674,0.000364803,0.0002215396,0.0001660101],"domain_scores_gemma":[0.9973971,0.000786601,0.000214435,0.0006789974,0.0006448771,0.0002779834],"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":[0.00002530145,0.00001122123,0.000375494,0.0004729038,0.0000124781,0.00001417509,0.00002222893,0.0001144646,0.00009755884,0.0003244196,0.9971318,0.001397882],"study_design_scores_gemma":[0.00006705189,0.000009048338,0.001889764,0.0002063969,0.00001378137,0.00003696627,0.00008530096,0.0001785811,0.000176253,0.0008119704,0.996507,0.00001795377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004586884,0.00002867048,0.00004914626,0.00004531181,0.00001457938,0.000006378856,0.9986722,0.0004481972,0.0006895849],"genre_scores_gemma":[0.0001793604,0.00003503115,0.0002202776,0.00005431435,0.000004227032,0.00004932736,0.9987597,0.0001648623,0.0005328732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8332551,"threshold_uncertainty_score":0.5578175,"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."}}