{"id":"W6924691599","doi":"10.15468/dl.xvk8y4","title":"Occurrence Download","year":2023,"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":[0.0009415994,0.001845154,0.001546843,0.004893127,0.001087443,0.002961542,0.002772782,0.001900321,0.1985779],"category_scores_gemma":[0.006326079,0.0009154048,0.00138634,0.009715938,0.0004238591,0.002600052,0.002825161,0.001942135,0.2836309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454104,"about_ca_system_score_gemma":0.002357597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036388,"about_ca_topic_score_gemma":0.03263643,"domain_scores_codex":[0.9989215,0.0001333336,0.0001365195,0.0003859916,0.0002322883,0.0001903442],"domain_scores_gemma":[0.9974661,0.000674154,0.0002050434,0.0007116901,0.0006788786,0.0002641985],"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":[0.00002981865,0.000009581255,0.0004229512,0.0005248222,0.00001447609,0.00001679519,0.0000272715,0.0001178078,0.0001243589,0.0003997441,0.9963847,0.001927495],"study_design_scores_gemma":[0.00004910918,0.000006518856,0.001574288,0.0001588519,0.0000120653,0.00003394085,0.00007682719,0.0001530077,0.0001755323,0.0007934143,0.9969505,0.00001592675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000471135,0.00003043899,0.00007032494,0.00004434526,0.00001720365,0.000006265866,0.9981636,0.0007023363,0.0009182871],"genre_scores_gemma":[0.0001951757,0.00004157524,0.000283153,0.00005615465,0.000004934802,0.00004699353,0.9984394,0.0002730741,0.0006595618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8014221,"threshold_uncertainty_score":0.6643093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}