{"id":"W6924642576","doi":"10.15468/dl.u88t47","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":"Matching (statistics); Download; Range (aeronautics); Identification (biology)","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":[0.0008822121,0.001989274,0.001577632,0.004881304,0.0009832981,0.002583809,0.002725255,0.00194655,0.1691913],"category_scores_gemma":[0.005713962,0.0009288524,0.001145176,0.009481072,0.0004187053,0.002339733,0.0024564,0.001889123,0.2296374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517707,"about_ca_system_score_gemma":0.002216143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923586,"about_ca_topic_score_gemma":0.0329959,"domain_scores_codex":[0.9989538,0.0001418378,0.0001341992,0.0003789589,0.0002168963,0.0001742465],"domain_scores_gemma":[0.9976973,0.0006409577,0.0002268712,0.0005844982,0.0005840056,0.0002663709],"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":[0.00003073683,0.00001054653,0.000364667,0.0005444145,0.00001403341,0.0000138389,0.00001997697,0.0001159929,0.0001139438,0.0003762406,0.9970509,0.00134481],"study_design_scores_gemma":[0.00006921044,0.000009070533,0.001785722,0.0001882458,0.00001452967,0.00003687209,0.00006040189,0.0001336746,0.0001768964,0.0007983322,0.9967085,0.0000184765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003987635,0.00002779221,0.00003848999,0.00003208212,0.00001177012,0.000004495614,0.9989041,0.0002933982,0.0006480835],"genre_scores_gemma":[0.0001555411,0.00003638762,0.0001730584,0.00004755368,0.00000374151,0.00003900539,0.9988801,0.000131537,0.0005331641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308088,"threshold_uncertainty_score":0.5660012,"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."}}