{"id":"W6924839969","doi":"10.15468/dl.xvuktq","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; Clupea","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":[0.0009710995,0.002202558,0.001651592,0.005050608,0.001060895,0.00249372,0.003097804,0.002281689,0.1137965],"category_scores_gemma":[0.005657306,0.0008755295,0.001292575,0.009234809,0.0005109279,0.00234852,0.002501646,0.002039814,0.1754422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175091,"about_ca_system_score_gemma":0.002398517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264079,"about_ca_topic_score_gemma":0.0369877,"domain_scores_codex":[0.9990103,0.0001369835,0.0001206266,0.0003549268,0.0002210549,0.0001560806],"domain_scores_gemma":[0.997849,0.000612843,0.0001947773,0.0005693419,0.0005272527,0.0002469598],"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":[0.00003609497,0.0000140498,0.0004390521,0.000635848,0.00001783077,0.00001879802,0.0000262575,0.0001761856,0.00013184,0.0003840548,0.996429,0.001691002],"study_design_scores_gemma":[0.00008709342,0.00001039007,0.002092021,0.0002036294,0.00001679874,0.00004854214,0.0000787774,0.0002521581,0.0002209575,0.0008513519,0.9961191,0.00001905446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005896488,0.0000413945,0.0000556906,0.00004416481,0.00001500759,0.000006513663,0.9986562,0.0005114789,0.0006105546],"genre_scores_gemma":[0.000170737,0.00003791613,0.0002184623,0.00004768256,0.000003458589,0.00004198214,0.9989516,0.0001305003,0.0003975986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8862035,"threshold_uncertainty_score":0.3806874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925627581506486,"score_gpt":0.2270958561062939,"score_spread":0.2078395802912291,"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."}}