{"id":"W6887349946","doi":"10.15468/dl.zsmgfr","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); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008903515,0.001884395,0.001563401,0.004900957,0.001051617,0.002958488,0.002710691,0.001831213,0.1910602],"category_scores_gemma":[0.006094739,0.0009070595,0.001342233,0.009774987,0.0004067962,0.002592293,0.002837453,0.00189553,0.2806911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412033,"about_ca_system_score_gemma":0.002295007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030605,"about_ca_topic_score_gemma":0.03298919,"domain_scores_codex":[0.9989158,0.0001325945,0.0001363252,0.0003890187,0.0002379543,0.0001883027],"domain_scores_gemma":[0.9975108,0.0006371823,0.000203953,0.0007038113,0.0006819215,0.000262264],"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":[0.00002877743,0.000009599399,0.0004400865,0.0005190515,0.00001493848,0.0000165296,0.0000267553,0.0001281559,0.0001228169,0.0003782118,0.9962925,0.002022655],"study_design_scores_gemma":[0.00004802303,0.000006736226,0.001638429,0.0001561936,0.0000122301,0.00003445961,0.00007671864,0.0001592545,0.0001711678,0.0007192558,0.9969613,0.00001614025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004875764,0.00003205742,0.00006842921,0.00004314945,0.00001794933,0.000005931406,0.9982396,0.0006637946,0.0008802399],"genre_scores_gemma":[0.0001893087,0.00004132746,0.0002699529,0.00005152216,0.000004886343,0.00004307441,0.9984995,0.0002437403,0.000656647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8089398,"threshold_uncertainty_score":0.6391599,"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."}}