{"id":"W6943488741","doi":"10.15468/dl.r27nwm","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008832811,0.001811431,0.001531406,0.004709284,0.001009485,0.002901387,0.002688209,0.001808251,0.1831134],"category_scores_gemma":[0.005828093,0.0008870042,0.001341993,0.008998065,0.0004055819,0.002491663,0.002788445,0.001884836,0.2690384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360144,"about_ca_system_score_gemma":0.002228156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921686,"about_ca_topic_score_gemma":0.03195711,"domain_scores_codex":[0.9989711,0.0001249337,0.0001291894,0.0003709914,0.0002254204,0.0001782907],"domain_scores_gemma":[0.9976554,0.0005956865,0.0001916301,0.0006837973,0.0006171311,0.0002564341],"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":[0.0000304845,0.0000102884,0.0004832274,0.0005103332,0.00001544024,0.00001769938,0.00002713239,0.000135024,0.0001328835,0.0003932896,0.9961845,0.002059682],"study_design_scores_gemma":[0.00005150454,0.000007128993,0.001752856,0.0001515682,0.00001241353,0.00003647788,0.00008003965,0.0001724096,0.0001785881,0.0007639641,0.9967769,0.00001603822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005319781,0.0000303289,0.00007248708,0.00004427578,0.0000182793,0.000006441809,0.9981673,0.0006971653,0.0009105288],"genre_scores_gemma":[0.0001999768,0.00003859739,0.000277783,0.00005091358,0.000005009128,0.00004502738,0.9985115,0.0002312621,0.0006399248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8168866,"threshold_uncertainty_score":0.6125754,"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."}}