{"id":"W6905999721","doi":"10.15468/dl.mrkpsj","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); Set (abstract data type); Data 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":[0.001025151,0.001866527,0.001650914,0.005163739,0.0009238546,0.002510263,0.002692065,0.001978294,0.1661188],"category_scores_gemma":[0.00635626,0.0008837925,0.001195309,0.01056972,0.0004335527,0.002162431,0.002426014,0.00188511,0.2149955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541148,"about_ca_system_score_gemma":0.002286769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210296,"about_ca_topic_score_gemma":0.03281457,"domain_scores_codex":[0.9989348,0.0001463062,0.0001476273,0.0003603747,0.0002346685,0.0001761338],"domain_scores_gemma":[0.997331,0.0007880246,0.0002583285,0.0006690216,0.0006604845,0.0002932057],"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":[0.0000316894,0.00001099303,0.0004164569,0.0006050531,0.00001691817,0.00001528718,0.00002243382,0.0001346913,0.0001173645,0.0003758037,0.9968208,0.001432425],"study_design_scores_gemma":[0.00008333317,0.000009004378,0.002147631,0.0002233679,0.00001655361,0.00003814729,0.00007129279,0.0001478533,0.0001829661,0.0007765592,0.996285,0.00001831647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003582341,0.00002444261,0.00003448963,0.00002947366,0.000009689425,0.000004489649,0.9990973,0.0002702581,0.0004939225],"genre_scores_gemma":[0.0001584374,0.00003342623,0.0001667814,0.00004114188,0.000003426367,0.00003963801,0.999044,0.0001188097,0.0003942555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338812,"threshold_uncertainty_score":0.5557227,"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."}}