{"id":"W6962484518","doi":"10.15468/dl.w7zu5j","title":"Occurrence Download","year":2023,"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":[0.001022851,0.001926694,0.001592969,0.005128619,0.0009601269,0.002510275,0.00274699,0.002114207,0.1431718],"category_scores_gemma":[0.005890798,0.0008839159,0.00121831,0.01022706,0.0004471535,0.002176058,0.002397091,0.001968252,0.2059445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597873,"about_ca_system_score_gemma":0.002332261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241293,"about_ca_topic_score_gemma":0.0364125,"domain_scores_codex":[0.9989246,0.0001495904,0.0001411464,0.0003674292,0.0002389916,0.0001783158],"domain_scores_gemma":[0.9973802,0.0007620158,0.00025533,0.0006790254,0.0006291342,0.0002943643],"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":[0.00003150797,0.00001269998,0.000419837,0.0005782466,0.00001628284,0.00001589267,0.00002351045,0.000141565,0.0001237135,0.0003764357,0.9968355,0.001424767],"study_design_scores_gemma":[0.00008066124,0.000009781446,0.002342429,0.0002103638,0.00001588134,0.00004017003,0.00007695773,0.000164951,0.0002008034,0.0007985189,0.9960402,0.00001932284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004279291,0.00002550799,0.00003867477,0.00003273355,0.00001081523,0.000004908208,0.9989832,0.0003166978,0.0005445255],"genre_scores_gemma":[0.0001546233,0.00003141274,0.0001725996,0.00003972791,0.00000322126,0.00003918415,0.9990274,0.0001180983,0.0004138513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8568282,"threshold_uncertainty_score":0.4789574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}