{"id":"W6924635118","doi":"10.15468/dl.xpxvgp","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); State (computer science); Confidentiality","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":[0.001055888,0.00197038,0.001556969,0.0053044,0.001033728,0.002574169,0.002938495,0.002152026,0.1519752],"category_scores_gemma":[0.006075247,0.0009132131,0.00116627,0.01008747,0.0004870566,0.002382676,0.002574449,0.002105301,0.2190856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618994,"about_ca_system_score_gemma":0.002329007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050981,"about_ca_topic_score_gemma":0.03482309,"domain_scores_codex":[0.9988954,0.0001642975,0.0001397079,0.0003841259,0.000238298,0.0001781989],"domain_scores_gemma":[0.9973171,0.0007717572,0.0002474157,0.0007235227,0.0006359233,0.0003042592],"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":[0.00002664956,0.00001231577,0.00035538,0.0004773006,0.00001304128,0.00001451322,0.00002300655,0.000128618,0.00009886443,0.0003624936,0.9971247,0.001362946],"study_design_scores_gemma":[0.00006969788,0.000008408568,0.001713259,0.0001834392,0.00001302871,0.00003846778,0.00008338427,0.0001646658,0.0001721926,0.0008005401,0.9967352,0.0000176993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004911564,0.00002882229,0.00004903556,0.00003910533,0.00001350155,0.000005740801,0.998808,0.0003749491,0.0006316399],"genre_scores_gemma":[0.000164907,0.00003243101,0.0002056724,0.00004306004,0.000003673462,0.00004469597,0.9989113,0.000131714,0.0004626639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480247,"threshold_uncertainty_score":0.5084078,"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."}}