{"id":"W6906066068","doi":"10.15468/dl.s2rudh","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":"Geodetic datum; Coordinate system; Matching (statistics); Geographic coordinate conversion; Reprojection error","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":[0.0008368547,0.001907462,0.001498634,0.004873676,0.001013217,0.00289237,0.002735719,0.001735486,0.1820887],"category_scores_gemma":[0.005574324,0.000918699,0.001286669,0.01030937,0.0004099809,0.002330342,0.002701955,0.001792611,0.2628747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404539,"about_ca_system_score_gemma":0.002246434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195765,"about_ca_topic_score_gemma":0.03496765,"domain_scores_codex":[0.998957,0.0001286285,0.0001284518,0.0003713811,0.0002260047,0.0001884583],"domain_scores_gemma":[0.9978608,0.0005319145,0.0001911229,0.0005930451,0.0005851975,0.0002378202],"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":[0.00003123792,0.000009739635,0.0004266133,0.0005105015,0.00001463546,0.00001578976,0.00002602584,0.0001299945,0.0001235988,0.0003831312,0.9962664,0.002062406],"study_design_scores_gemma":[0.00004847959,0.000007020421,0.001618545,0.0001457784,0.00001167826,0.00003409027,0.00007152067,0.000148532,0.0001653446,0.0007152408,0.9970181,0.00001575331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005022997,0.00003254334,0.00006511092,0.00003851552,0.00001496856,0.000005543657,0.9983177,0.0006082162,0.0008672416],"genre_scores_gemma":[0.00019251,0.00004113534,0.0002530825,0.0000478924,0.000004346326,0.00004220351,0.9985177,0.0002228167,0.000678423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8179113,"threshold_uncertainty_score":0.6091474,"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."}}