{"id":"W6887262008","doi":"10.15468/dl.vxtz34","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Confidentiality","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":[0.0009352647,0.001866106,0.00156859,0.004789248,0.0009444837,0.002471283,0.00269955,0.001986531,0.1560661],"category_scores_gemma":[0.005673665,0.0008526698,0.001176206,0.01004664,0.0004088363,0.00221313,0.002425313,0.001899346,0.2153279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534123,"about_ca_system_score_gemma":0.002360265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323133,"about_ca_topic_score_gemma":0.0377377,"domain_scores_codex":[0.9989874,0.0001334478,0.0001330024,0.0003466082,0.0002313498,0.0001681247],"domain_scores_gemma":[0.997663,0.0006357119,0.0002207631,0.0006179633,0.0005870335,0.0002755789],"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":[0.0000286172,0.00001025257,0.00036785,0.0004642531,0.00001408016,0.00001388572,0.00002179315,0.0001227105,0.0001093844,0.0003725539,0.9970714,0.001403203],"study_design_scores_gemma":[0.00006683805,0.000007314201,0.001938838,0.0001825945,0.00001418349,0.00003628436,0.0000724718,0.0001594215,0.0001985435,0.0008356976,0.9964705,0.00001738204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003836175,0.00002296987,0.00004446244,0.00003265679,0.00001057796,0.000004444376,0.998897,0.000357992,0.0005915248],"genre_scores_gemma":[0.0001542318,0.00002938268,0.00019597,0.00004045238,0.00000314806,0.0000362775,0.9989421,0.0001382583,0.0004602149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439339,"threshold_uncertainty_score":0.5220931,"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."}}