{"id":"W6905971325","doi":"10.15468/dl.memybn","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":[0.0008419653,0.001987065,0.001517536,0.004770964,0.001063447,0.002954979,0.002810268,0.001802481,0.1772314],"category_scores_gemma":[0.005587641,0.0009286444,0.001339887,0.009968961,0.000412955,0.002338109,0.002730772,0.001842943,0.2629937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446264,"about_ca_system_score_gemma":0.002319596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285692,"about_ca_topic_score_gemma":0.03683786,"domain_scores_codex":[0.9989453,0.0001289072,0.0001285555,0.0003810456,0.0002267165,0.0001893825],"domain_scores_gemma":[0.9978666,0.0005209873,0.0001846981,0.0006030037,0.000587172,0.0002376157],"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":[0.00003210435,0.0000100941,0.0004243863,0.000492801,0.00001483276,0.00001595724,0.00002565087,0.0001274236,0.0001244704,0.0003734553,0.9964315,0.001927329],"study_design_scores_gemma":[0.00005047363,0.000007436735,0.001609081,0.0001400756,0.00001198915,0.00003464809,0.00007084556,0.0001534795,0.0001731853,0.0007270119,0.9970059,0.00001596547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005038976,0.00003182373,0.00006425328,0.00003863642,0.00001534415,0.000005688697,0.998301,0.0006457777,0.0008471261],"genre_scores_gemma":[0.0001843461,0.0000383899,0.0002455658,0.00004730418,0.000004251521,0.00004118961,0.9985677,0.0002224461,0.0006487332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227686,"threshold_uncertainty_score":0.592898,"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."}}