{"id":"W6943490306","doi":"10.15468/dl.pfevxm","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); Range (aeronautics); Download; State (computer science); 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":[0.0009261461,0.001957102,0.001552112,0.004841787,0.0008937887,0.002502241,0.002592459,0.001866909,0.1603934],"category_scores_gemma":[0.005558203,0.0009331493,0.001178083,0.00969623,0.0004094703,0.002171742,0.002456858,0.001851227,0.217957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459826,"about_ca_system_score_gemma":0.002221036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907312,"about_ca_topic_score_gemma":0.03274957,"domain_scores_codex":[0.9989561,0.0001409573,0.0001373026,0.0003708845,0.0002206874,0.0001740644],"domain_scores_gemma":[0.9975616,0.0006548674,0.0002471921,0.0006408943,0.0006248968,0.0002705521],"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":[0.00003376251,0.00001149545,0.0004090322,0.0005525543,0.00001578582,0.00001302988,0.00002038655,0.0001274287,0.0001225462,0.0003811614,0.996857,0.001455732],"study_design_scores_gemma":[0.00007529977,0.000009090681,0.001921685,0.0001848079,0.00001521299,0.00003230083,0.00005841857,0.0001347378,0.0001920666,0.0007997637,0.9965579,0.00001859133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003712115,0.00002288023,0.00003571482,0.00002797219,0.00001026884,0.000004419853,0.9990075,0.000287031,0.0005671295],"genre_scores_gemma":[0.0001478444,0.00003257768,0.0001836821,0.00004405209,0.000003425678,0.00003953699,0.9989251,0.0001280245,0.0004957515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396066,"threshold_uncertainty_score":0.5365694,"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."}}