{"id":"W6886901741","doi":"10.15468/dl.9vfbmk","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); 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":[0.001026638,0.001923481,0.001577036,0.005098246,0.001087701,0.002760775,0.002827525,0.002093578,0.1648792],"category_scores_gemma":[0.006459158,0.0009136017,0.001259396,0.009642915,0.0004406863,0.002462289,0.002543491,0.002081604,0.2295845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594933,"about_ca_system_score_gemma":0.002372653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135828,"about_ca_topic_score_gemma":0.03414207,"domain_scores_codex":[0.9989226,0.0001547616,0.0001327212,0.000383127,0.0002344426,0.0001721558],"domain_scores_gemma":[0.9973903,0.0008035696,0.0002171189,0.0006772137,0.0006368682,0.000274949],"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":[0.0000263814,0.00001163891,0.0003838848,0.0005178016,0.0000142265,0.00001526088,0.00002432163,0.0001182753,0.0001076294,0.0003730236,0.9970214,0.001386102],"study_design_scores_gemma":[0.00006653018,0.000008157245,0.001841575,0.0002008756,0.00001463139,0.00003724187,0.00008138305,0.0001605474,0.0001833761,0.0008144129,0.996573,0.00001829027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004189737,0.00002767227,0.00004788088,0.00004059539,0.00001300996,0.000005963423,0.99879,0.0003817613,0.0006513132],"genre_scores_gemma":[0.0001604387,0.00003503965,0.0002040095,0.0000492932,0.000003899255,0.00004993802,0.9988269,0.0001558694,0.0005146317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351208,"threshold_uncertainty_score":0.5515758,"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."}}