{"id":"W6905957339","doi":"10.15468/dl.wzsx7a","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001020832,0.001957013,0.001649614,0.005107353,0.001067594,0.002611019,0.002848678,0.002233306,0.1592955],"category_scores_gemma":[0.006166163,0.0009150543,0.001330458,0.009942261,0.0004700289,0.002485533,0.002649334,0.002037141,0.2270941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702083,"about_ca_system_score_gemma":0.002481223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387808,"about_ca_topic_score_gemma":0.03702366,"domain_scores_codex":[0.9988801,0.0001540134,0.000145312,0.0003860124,0.0002481584,0.0001863999],"domain_scores_gemma":[0.9973042,0.0007670153,0.0002362225,0.0007084639,0.0006916538,0.0002923975],"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":[0.00003068178,0.00001287728,0.0003790129,0.0005963969,0.00001435305,0.00001618029,0.00002488457,0.0001193875,0.0001272608,0.0003648387,0.9968488,0.001465407],"study_design_scores_gemma":[0.00007070043,0.000009594725,0.002025849,0.0002172284,0.00001465045,0.00003827761,0.00008445641,0.0001451062,0.000194896,0.0006870335,0.9964942,0.00001800513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004494248,0.0000294074,0.00003995681,0.00004072244,0.00001325323,0.000005959145,0.9988115,0.0003666456,0.0006476199],"genre_scores_gemma":[0.0001546112,0.00003643161,0.0001840041,0.00004589302,0.000003566992,0.00004119964,0.9989355,0.0001273491,0.000471363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8407045,"threshold_uncertainty_score":0.5328966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}