{"id":"W6887314202","doi":"10.15468/dl.xclfdy","title":"Occurrence Download","year":2019,"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); Real world data; 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":[0.001005028,0.001974705,0.001561954,0.004865785,0.001022771,0.002555757,0.002996528,0.002009107,0.146855],"category_scores_gemma":[0.005907419,0.0009292544,0.001192273,0.009656326,0.0004589523,0.002249669,0.00263488,0.002028488,0.2126772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637803,"about_ca_system_score_gemma":0.002391679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439298,"about_ca_topic_score_gemma":0.03870881,"domain_scores_codex":[0.9989609,0.0001342639,0.0001323191,0.0003638706,0.0002375702,0.0001711778],"domain_scores_gemma":[0.9976659,0.000644231,0.0002181073,0.0006351115,0.0005647134,0.0002719631],"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":[0.00002759952,0.00001073368,0.0003544023,0.000450369,0.00001384358,0.00001476865,0.00002457694,0.0001196128,0.0001089785,0.0003896132,0.997169,0.00131664],"study_design_scores_gemma":[0.00006926095,0.00000761496,0.001817812,0.0001717506,0.00001425214,0.00003954327,0.00007333772,0.0001645096,0.0002072101,0.0008195115,0.9965973,0.00001789215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004408029,0.00002548171,0.00005281822,0.00003589113,0.00001197037,0.000005351684,0.9986756,0.0004709179,0.0006777435],"genre_scores_gemma":[0.0001582375,0.00002982661,0.0002002184,0.0000400394,0.000002996964,0.00003999426,0.9989212,0.0001697019,0.0004378678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.853145,"threshold_uncertainty_score":0.4912789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}