{"id":"W6962157763","doi":"10.15468/dl.nvbrkd","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","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":[0.001015809,0.001884349,0.001576925,0.004736111,0.001001033,0.002561432,0.002677642,0.002103764,0.1461775],"category_scores_gemma":[0.00625203,0.0008945743,0.00127568,0.009072532,0.0004529894,0.002341002,0.002552571,0.00200205,0.2061525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503415,"about_ca_system_score_gemma":0.002231915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202923,"about_ca_topic_score_gemma":0.03168526,"domain_scores_codex":[0.9989318,0.0001506144,0.0001364083,0.0003749387,0.0002344448,0.0001717813],"domain_scores_gemma":[0.997334,0.000798954,0.000236768,0.0007215663,0.0006146309,0.0002941434],"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":[0.00003097525,0.00001263568,0.0004236868,0.0005675501,0.00001519585,0.00001603258,0.00002437788,0.0001399962,0.0001236506,0.000362505,0.9967573,0.001526092],"study_design_scores_gemma":[0.0000781155,0.00001042063,0.002170096,0.0002150369,0.00001545296,0.00004079782,0.00008366635,0.0001869422,0.0001998007,0.0007718685,0.9962089,0.00001890002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005167646,0.00003124499,0.00004804889,0.00004449325,0.00001542984,0.000006270483,0.9987488,0.0004311067,0.0006228021],"genre_scores_gemma":[0.0001790867,0.00003801024,0.0002081109,0.00005088642,0.000004113045,0.00004524309,0.9988614,0.0001454516,0.0004676553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8538225,"threshold_uncertainty_score":0.4890126,"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."}}