{"id":"W6943589772","doi":"10.15468/dl.ye738j","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; Alien; Range (aeronautics); Identification (biology)","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":[0.0009171722,0.002059946,0.001495895,0.004607166,0.0009345324,0.002411634,0.00257546,0.001910785,0.1561971],"category_scores_gemma":[0.005800868,0.000904885,0.001225004,0.009253655,0.0004280124,0.002168184,0.002440818,0.001808647,0.2089403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443532,"about_ca_system_score_gemma":0.002267973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036721,"about_ca_topic_score_gemma":0.03229989,"domain_scores_codex":[0.9989794,0.0001380769,0.0001291099,0.0003711024,0.0002101309,0.0001721163],"domain_scores_gemma":[0.9976233,0.0006997971,0.0002244234,0.0006056603,0.0005762772,0.0002705982],"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":[0.00003413966,0.00001232465,0.0004193087,0.0005273225,0.00001477966,0.00001459032,0.0000203665,0.0001398997,0.0001250905,0.0003503397,0.9968526,0.001489278],"study_design_scores_gemma":[0.00008432092,0.00001170725,0.002084297,0.0001893096,0.00001626276,0.00003911281,0.00006766846,0.000178224,0.000214546,0.0008180056,0.996277,0.00001947562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004822814,0.00002583727,0.00004034642,0.0000332271,0.00001240985,0.00000500527,0.9988637,0.0003772122,0.0005940718],"genre_scores_gemma":[0.0001641164,0.00003225206,0.0001843712,0.00004545139,0.000003507329,0.00003906871,0.9989324,0.0001413073,0.0004575954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8438029,"threshold_uncertainty_score":0.5225314,"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."}}