{"id":"W6906002138","doi":"10.15468/dl.ty2exb","title":"Occurrence Download","year":2019,"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); Data set","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":[0.00107818,0.001845032,0.00161495,0.006294368,0.001012967,0.002681012,0.00271775,0.001812122,0.1963248],"category_scores_gemma":[0.006413373,0.0009337451,0.001130343,0.01188674,0.0004413901,0.002474218,0.002973125,0.00193412,0.2775505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603982,"about_ca_system_score_gemma":0.002602981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302841,"about_ca_topic_score_gemma":0.04105981,"domain_scores_codex":[0.9987644,0.0001597809,0.0001612023,0.0004190183,0.0002872311,0.0002084523],"domain_scores_gemma":[0.9969694,0.0007478646,0.0002933157,0.0007976861,0.0008238334,0.0003679409],"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":[0.0000255232,0.000007991007,0.0002987619,0.00047372,0.00001242127,0.00001156392,0.000022571,0.00008025409,0.0001007687,0.0003679148,0.9972081,0.001390488],"study_design_scores_gemma":[0.00004707552,0.000005961187,0.001572326,0.0001674865,0.00001154372,0.00002731682,0.00006296722,0.00008153336,0.0001512692,0.0006511016,0.997206,0.0000152067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002984051,0.00002222826,0.00003936191,0.00002849264,0.0000101792,0.000004671666,0.9988236,0.0003357592,0.00070584],"genre_scores_gemma":[0.000138015,0.00003351082,0.0001925542,0.00004302489,0.000003689118,0.00003774091,0.9988154,0.0001786796,0.0005574223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8036752,"threshold_uncertainty_score":0.6567718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}