{"id":"W6943830727","doi":"10.15468/dl.sq98q3","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); Alien; Range (aeronautics); Data set","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":[0.0009712517,0.00198817,0.00159279,0.004645827,0.001029278,0.002568519,0.002720936,0.002135091,0.1562158],"category_scores_gemma":[0.005959399,0.0009043946,0.001292836,0.00896702,0.0004492328,0.002328677,0.002600061,0.001990595,0.2200777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498689,"about_ca_system_score_gemma":0.002266269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088385,"about_ca_topic_score_gemma":0.03349289,"domain_scores_codex":[0.9989932,0.0001390324,0.0001265556,0.0003565896,0.0002182746,0.0001662685],"domain_scores_gemma":[0.9974661,0.0007459678,0.000225697,0.0006836667,0.0005938077,0.0002847133],"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":[0.00002927186,0.00001226907,0.0003925704,0.0005353521,0.00001448816,0.00001512542,0.00002307882,0.0001250717,0.0001188782,0.0003237392,0.9970107,0.001399515],"study_design_scores_gemma":[0.00008345647,0.0000106458,0.002156751,0.000214314,0.00001632812,0.00004169122,0.00008151263,0.0001827456,0.0002091545,0.0007597947,0.9962244,0.00001923371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004836672,0.00002981413,0.00004424122,0.00004126012,0.00001449786,0.000006074138,0.9987862,0.0004273519,0.0006021853],"genre_scores_gemma":[0.0001704855,0.00003568997,0.0001989723,0.0000516931,0.000004052397,0.00004652821,0.9988655,0.0001488335,0.0004782066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437842,"threshold_uncertainty_score":0.5225939,"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."}}