{"id":"W6905724865","doi":"10.15468/dl.nbnwvx","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); Alien","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":[0.0009549469,0.001887961,0.001503584,0.004956181,0.0009864822,0.002533056,0.002532083,0.002048366,0.1577014],"category_scores_gemma":[0.006098424,0.0008422317,0.001211114,0.009324661,0.0004446632,0.002288595,0.002533001,0.001888923,0.2241161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483785,"about_ca_system_score_gemma":0.002235001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082917,"about_ca_topic_score_gemma":0.03394087,"domain_scores_codex":[0.9989863,0.0001435681,0.0001282203,0.0003577851,0.0002156473,0.0001684193],"domain_scores_gemma":[0.997398,0.0007666794,0.0002329364,0.0006754575,0.0006492071,0.0002776938],"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":[0.00002801811,0.00001170108,0.0004536969,0.0005393509,0.00001383946,0.0000155203,0.00002498312,0.0001306494,0.0001069359,0.000343372,0.9968379,0.001494046],"study_design_scores_gemma":[0.00007044498,0.000009406343,0.002089776,0.000215954,0.00001453228,0.00003800682,0.000089897,0.0001731219,0.0001800807,0.0007819178,0.9963189,0.00001782938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004935259,0.00002949235,0.00004446372,0.00004087039,0.00001413405,0.000005869375,0.9987695,0.0003944081,0.0006519723],"genre_scores_gemma":[0.0001829089,0.00003577846,0.0002064453,0.00005023092,0.000004291746,0.00004615637,0.9988289,0.0001467671,0.0004983579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422986,"threshold_uncertainty_score":0.5275636,"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."}}