{"id":"W6924462316","doi":"10.15468/dl.tcbfhw","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); Species name; Data set","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":[0.001168957,0.002064772,0.001662519,0.005236943,0.001054473,0.002779729,0.003020219,0.002170348,0.1682201],"category_scores_gemma":[0.006793879,0.00101945,0.001213914,0.01004135,0.0004690203,0.002448939,0.002657758,0.002098584,0.2360381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701556,"about_ca_system_score_gemma":0.002508611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179573,"about_ca_topic_score_gemma":0.0344997,"domain_scores_codex":[0.9988101,0.000162494,0.0001566704,0.0004203551,0.0002630375,0.000187364],"domain_scores_gemma":[0.9971647,0.0008271243,0.0002646731,0.0007394706,0.0006885292,0.0003154897],"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":[0.00002735554,0.00001053424,0.0003443912,0.0005067259,0.00001468866,0.00001400116,0.00002197044,0.0001138262,0.0001066828,0.0003603672,0.9972138,0.001265645],"study_design_scores_gemma":[0.00007395079,0.000007799791,0.001748545,0.0001918384,0.00001493221,0.00003745035,0.00007023822,0.0001480483,0.0001876642,0.0007632981,0.996738,0.00001824589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003428232,0.00002422182,0.00004372669,0.00003440475,0.0000111989,0.000004881245,0.9989221,0.0003622577,0.0005629769],"genre_scores_gemma":[0.0001402734,0.00003024789,0.000186093,0.00004295141,0.000003283081,0.00003951798,0.9989868,0.0001522159,0.0004185296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317799,"threshold_uncertainty_score":0.5627523,"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."}}