{"id":"W6905824369","doi":"10.15468/dl.nat2q6","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":"Matching (statistics); Download; Range (aeronautics); The Internet; Ophiostoma","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":[0.0009296608,0.001973041,0.001577086,0.004952181,0.0009635427,0.002605646,0.002740021,0.001939873,0.1639412],"category_scores_gemma":[0.005923744,0.0009407449,0.001125173,0.01001879,0.0004163198,0.00230335,0.002461422,0.001882342,0.2193403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539671,"about_ca_system_score_gemma":0.002290404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007442,"about_ca_topic_score_gemma":0.0344905,"domain_scores_codex":[0.9989446,0.0001387132,0.0001356153,0.0003768075,0.0002269206,0.0001773565],"domain_scores_gemma":[0.9976243,0.0006453668,0.0002268633,0.0006029965,0.0006317918,0.0002687032],"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":[0.00003205382,0.00001077996,0.0003765557,0.0005609195,0.00001446997,0.00001402578,0.00002043252,0.0001171905,0.0001212852,0.0004035812,0.9969213,0.001407401],"study_design_scores_gemma":[0.00006844719,0.000008150244,0.001727771,0.0001772822,0.0000139372,0.00003275937,0.00005667278,0.000124493,0.0001833274,0.0008010377,0.9967884,0.00001783882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003823201,0.00002558812,0.00003883126,0.00002961342,0.00001059699,0.000004539745,0.9988995,0.0003051083,0.0006480446],"genre_scores_gemma":[0.0001524375,0.00003421159,0.0001847064,0.00004448173,0.000003447036,0.00004006398,0.9988863,0.0001384076,0.0005159713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360588,"threshold_uncertainty_score":0.548438,"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."}}