{"id":"W6887272475","doi":"10.15468/dl.vpfmjk","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); Data set; Set (abstract data type)","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":[0.0009202316,0.001781668,0.00148838,0.005020467,0.0008995883,0.002322199,0.002584892,0.001742842,0.1677672],"category_scores_gemma":[0.005511213,0.0008376632,0.001070431,0.01030693,0.00039736,0.002086151,0.002358536,0.001732985,0.2161665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159353,"about_ca_system_score_gemma":0.002552705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03024506,"about_ca_topic_score_gemma":0.05075422,"domain_scores_codex":[0.9990018,0.0001278406,0.0001288736,0.0003338282,0.0002341676,0.0001735338],"domain_scores_gemma":[0.9975459,0.000635321,0.0002280049,0.0006184393,0.0006769596,0.0002954238],"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":[0.00002627835,0.000009601334,0.0003799134,0.0004441227,0.00001363471,0.00001317237,0.00002003568,0.0001243297,0.0001048117,0.0003355363,0.9971444,0.00138399],"study_design_scores_gemma":[0.00006634637,0.000007432855,0.002159335,0.0001763819,0.00001346286,0.00003202902,0.00006929389,0.0001449347,0.0001932085,0.0006925504,0.9964276,0.00001752483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003614988,0.00001958547,0.00003579778,0.00002754046,0.000008604529,0.000004621874,0.9989931,0.0002975073,0.0005769882],"genre_scores_gemma":[0.0001524177,0.00002687583,0.0001590914,0.0000353935,0.000002935141,0.00003467264,0.9989946,0.0001223558,0.0004716416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322328,"threshold_uncertainty_score":0.5612373,"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."}}