{"id":"W6905833767","doi":"10.15468/dl.m8quzg","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); Alien; Range (aeronautics); The Internet","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":[0.00102443,0.001929197,0.0016491,0.005147669,0.001048931,0.002579332,0.002811436,0.00215199,0.1519906],"category_scores_gemma":[0.006045313,0.0009122416,0.00126182,0.01015396,0.0004600124,0.002314278,0.002555506,0.001996013,0.2107425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632984,"about_ca_system_score_gemma":0.00251224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02394265,"about_ca_topic_score_gemma":0.03831795,"domain_scores_codex":[0.9989167,0.0001483583,0.0001399419,0.0003703874,0.0002434599,0.0001811223],"domain_scores_gemma":[0.9973059,0.0007975984,0.0002471203,0.000692542,0.0006705396,0.000286257],"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":[0.00003135319,0.00001278454,0.0004100886,0.0006140486,0.00001544219,0.00001691794,0.00002666718,0.0001271252,0.0001339574,0.0003926552,0.9967445,0.001474544],"study_design_scores_gemma":[0.00007250776,0.000009103383,0.002068646,0.0002176973,0.00001535344,0.00003932971,0.00008397918,0.0001405621,0.000201024,0.0007350389,0.9963983,0.00001838815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004472195,0.00002845909,0.00004211825,0.00003658578,0.00001191738,0.000005556484,0.9988506,0.0003616367,0.0006183895],"genre_scores_gemma":[0.0001618133,0.00003536242,0.0001919903,0.00004601874,0.000003430473,0.00004331913,0.9989313,0.0001372764,0.000449414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480093,"threshold_uncertainty_score":0.5084593,"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."}}