{"id":"W6924816004","doi":"10.15468/dl.xt8vn7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0009817731,0.002228395,0.001752411,0.004785733,0.001059609,0.00269601,0.003016921,0.002329698,0.1492756],"category_scores_gemma":[0.006012252,0.0009208724,0.001246658,0.008924883,0.0004608896,0.002282822,0.002479132,0.002078395,0.2117231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695215,"about_ca_system_score_gemma":0.002394845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161022,"about_ca_topic_score_gemma":0.03482883,"domain_scores_codex":[0.9990184,0.0001380875,0.0001244857,0.000353076,0.0002118424,0.0001540714],"domain_scores_gemma":[0.9977336,0.0007074527,0.0002018512,0.000572556,0.0005173791,0.000267165],"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":[0.00003536826,0.00001363092,0.0004019882,0.0006081261,0.00001712925,0.00001816748,0.00002197861,0.0001570785,0.0001166744,0.0003707227,0.9968172,0.001421925],"study_design_scores_gemma":[0.0001051383,0.00001032115,0.001892048,0.0002139441,0.00001742695,0.00004431552,0.00007219655,0.0002289791,0.0002108268,0.0009176188,0.9962669,0.00002027891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000444263,0.00003195271,0.00004222821,0.00003969728,0.00001081706,0.00000594893,0.9988391,0.0004157905,0.0005699568],"genre_scores_gemma":[0.000167613,0.00003835146,0.000196878,0.00004782262,0.000003405484,0.00004359493,0.9989406,0.0001351735,0.0004265537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507244,"threshold_uncertainty_score":0.4993767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048665853546812,"score_gpt":0.2144599596189931,"score_spread":0.203973301083525,"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."}}