{"id":"W6924580535","doi":"10.15468/dl.kv3dsc","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); Alien; 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":[0.001005996,0.001998214,0.001545641,0.00483051,0.001002931,0.002610102,0.002777972,0.002119479,0.1747125],"category_scores_gemma":[0.006406537,0.0009161675,0.001285705,0.00900188,0.0004438875,0.00231609,0.002557651,0.001975052,0.236549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537081,"about_ca_system_score_gemma":0.002261922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130666,"about_ca_topic_score_gemma":0.03312957,"domain_scores_codex":[0.9990024,0.0001390633,0.0001172836,0.0003555817,0.0002189012,0.0001667517],"domain_scores_gemma":[0.9975488,0.0007509317,0.0002014097,0.0006294302,0.0005979181,0.0002714645],"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":[0.00002671394,0.00001128436,0.000354007,0.0004946769,0.00001361616,0.00001439094,0.00002154127,0.0001158867,0.0001103698,0.0003282396,0.9971098,0.00139953],"study_design_scores_gemma":[0.00007432183,0.000009357303,0.00187737,0.0002144544,0.00001499109,0.0000380857,0.00008008456,0.0001762883,0.0001976098,0.0008177464,0.9964814,0.00001836285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004439621,0.00002982113,0.00004876449,0.00004269709,0.00001427833,0.000006284777,0.998674,0.0004470498,0.0006926907],"genre_scores_gemma":[0.0001780493,0.00003545389,0.0002108846,0.00005416415,0.000004229141,0.00005039211,0.9987808,0.0001779989,0.0005080224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8252875,"threshold_uncertainty_score":0.5844715,"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."}}