{"id":"W6887264764","doi":"10.15468/dl.s7jdfd","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); Download; Range (aeronautics); State (computer science); 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":[0.0009267732,0.002150837,0.001600784,0.005015528,0.001035232,0.002414781,0.002881132,0.00200604,0.1559673],"category_scores_gemma":[0.005514083,0.0009698083,0.00121609,0.009953644,0.0004630024,0.002261887,0.002625573,0.002001857,0.2171522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506696,"about_ca_system_score_gemma":0.002289779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205146,"about_ca_topic_score_gemma":0.03525393,"domain_scores_codex":[0.9989531,0.0001407825,0.0001297197,0.0003824134,0.0002207996,0.0001732567],"domain_scores_gemma":[0.9976581,0.0006346179,0.0002249059,0.000626831,0.0005800944,0.0002753671],"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":[0.0000327573,0.0000119933,0.0003792813,0.0005455671,0.00001469538,0.00001471817,0.00002247179,0.000123627,0.0001338989,0.0003599217,0.9968997,0.00146136],"study_design_scores_gemma":[0.00007745937,0.000009576781,0.001867227,0.0001741685,0.00001451895,0.00003908222,0.00006432235,0.000137329,0.0001998087,0.00075081,0.9966473,0.0000184839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004681532,0.00002833095,0.00004454484,0.00003164427,0.00001292454,0.000005043946,0.9987907,0.0003853386,0.0006548148],"genre_scores_gemma":[0.0001473357,0.00003187431,0.0001938188,0.00004407372,0.000003356383,0.0000395205,0.9989306,0.0001475079,0.0004618373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440326,"threshold_uncertainty_score":0.5217627,"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."}}