{"id":"W6962327321","doi":"10.15468/dl.7ryhj9","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Polygon (computer graphics); Geocoding","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":[0.0008304457,0.002260408,0.001866697,0.005994057,0.001298931,0.00360037,0.003078809,0.002123954,0.2278567],"category_scores_gemma":[0.006646665,0.0009369159,0.001655003,0.01004319,0.0003959198,0.003820914,0.003571666,0.002105068,0.352834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628774,"about_ca_system_score_gemma":0.002437707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933634,"about_ca_topic_score_gemma":0.03446844,"domain_scores_codex":[0.9986803,0.0001419486,0.000179341,0.00046954,0.0003119767,0.000216834],"domain_scores_gemma":[0.9973983,0.0005999675,0.0002082574,0.0007248496,0.0007718155,0.0002968854],"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":[0.00003971875,0.00001239451,0.0004125603,0.0005410842,0.00001299089,0.00002302756,0.00002492267,0.00009155019,0.0001042801,0.0003772759,0.9951698,0.003190307],"study_design_scores_gemma":[0.00004128642,0.00001007653,0.001217833,0.0001602715,0.00001109062,0.00005170734,0.00007929521,0.0001994246,0.0001687532,0.0007099411,0.9973338,0.00001660926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007744692,0.00007256984,0.0001275448,0.00007663674,0.0000351056,0.00001040135,0.9960833,0.001855554,0.001661469],"genre_scores_gemma":[0.0002495873,0.00007545158,0.0004464754,0.00008590119,0.000009184672,0.00004571018,0.9974202,0.000466429,0.001201106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7721434,"threshold_uncertainty_score":0.7622565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}