{"id":"W6961962999","doi":"10.15468/dl.ytkxt3","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":"Download; Matching (statistics); Range (aeronautics); Training set","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":[0.001049443,0.001933414,0.0015729,0.004972967,0.001032306,0.002573813,0.002829568,0.001955366,0.1624305],"category_scores_gemma":[0.006063571,0.0009253751,0.001119002,0.0099405,0.0004401489,0.002271618,0.002598086,0.002019815,0.2175339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653467,"about_ca_system_score_gemma":0.002434015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02414213,"about_ca_topic_score_gemma":0.04007135,"domain_scores_codex":[0.9989532,0.0001385304,0.0001326053,0.0003529042,0.0002487336,0.0001738804],"domain_scores_gemma":[0.9974746,0.0007217161,0.0002368054,0.0006499235,0.0006314738,0.000285479],"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":[0.00002711335,0.00001047724,0.0003587842,0.000488896,0.00001405921,0.00001469031,0.00002430133,0.0001151933,0.0001156942,0.0003985813,0.9970722,0.001359934],"study_design_scores_gemma":[0.00006374459,0.000006954137,0.001783728,0.000180959,0.00001354749,0.00003522191,0.00007132829,0.0001372566,0.0001921166,0.000730051,0.9967678,0.00001730207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003624838,0.00002263342,0.00004503532,0.00003228902,0.00001062039,0.00000460257,0.9988334,0.0003734113,0.0006418568],"genre_scores_gemma":[0.0001500423,0.00002969358,0.0001913679,0.0000393181,0.000002999223,0.00003786251,0.9989449,0.0001581613,0.0004455363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375695,"threshold_uncertainty_score":0.5433843,"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."}}