{"id":"W6943531490","doi":"10.15468/dl.xstksx","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009459664,0.001993216,0.001579051,0.0050644,0.0009943201,0.002522015,0.002749856,0.002040075,0.1625966],"category_scores_gemma":[0.006032501,0.0009423223,0.001257188,0.01034221,0.0004483498,0.00227613,0.002552002,0.001911216,0.2270558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587255,"about_ca_system_score_gemma":0.002430964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229115,"about_ca_topic_score_gemma":0.03587941,"domain_scores_codex":[0.998892,0.0001475309,0.0001452947,0.0003987604,0.0002268602,0.0001896515],"domain_scores_gemma":[0.997477,0.0007032547,0.0002379789,0.0006588252,0.0006442243,0.000278762],"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":[0.00003341698,0.00001137251,0.0003768038,0.0005609452,0.00001494509,0.00001417132,0.00002201716,0.0001191995,0.000128899,0.0003767389,0.9969242,0.001417235],"study_design_scores_gemma":[0.00007206947,0.000009453422,0.001861039,0.000193023,0.00001533839,0.00003454282,0.00006589806,0.000128336,0.0001890087,0.0007583639,0.9966544,0.0000184035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000408701,0.00002542949,0.00003630243,0.00003082155,0.00001106507,0.000004766286,0.9989442,0.0003042483,0.0006022772],"genre_scores_gemma":[0.0001493781,0.00003485802,0.0001793354,0.00004534003,0.000003305345,0.00003994784,0.9989273,0.0001341926,0.0004863403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374034,"threshold_uncertainty_score":0.5439398,"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."}}