{"id":"W6962426009","doi":"10.15468/dl.xc9ppy","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); Heterobasidion annosum","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":[0.00103162,0.001987289,0.001675475,0.004799092,0.0009972288,0.002592085,0.002930087,0.002144852,0.1399314],"category_scores_gemma":[0.005825505,0.0009060627,0.001180424,0.009319931,0.0004418845,0.002285079,0.002455807,0.002013045,0.2053084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504805,"about_ca_system_score_gemma":0.002267982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955733,"about_ca_topic_score_gemma":0.03327404,"domain_scores_codex":[0.9989491,0.0001495674,0.0001343902,0.0003714281,0.0002277593,0.0001676205],"domain_scores_gemma":[0.9976205,0.0006768469,0.0002276743,0.0006251841,0.0005717976,0.0002780242],"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":[0.00003169891,0.00001286465,0.0004045109,0.0005708218,0.00001610767,0.0000160807,0.00002225896,0.0001347839,0.0001260786,0.0003672388,0.9969405,0.001357095],"study_design_scores_gemma":[0.00008671385,0.000009480053,0.002035243,0.0002007342,0.00001580869,0.00004056243,0.00007314144,0.0001676173,0.0002086278,0.0008488396,0.9962931,0.00002013328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004331085,0.0000285502,0.00004377047,0.00003509511,0.00001147852,0.000005303615,0.9989139,0.0003510704,0.0005675373],"genre_scores_gemma":[0.0001607791,0.0000323468,0.000185758,0.00004362837,0.000003433732,0.00004126714,0.9989941,0.0001216877,0.0004170958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600686,"threshold_uncertainty_score":0.4681173,"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."}}