{"id":"W6962796335","doi":"10.15468/dl.ysfva6","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); State (computer science); 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":[0.0008954638,0.002026822,0.001515979,0.004779385,0.0009733082,0.002452263,0.002781184,0.001948157,0.1602059],"category_scores_gemma":[0.005527899,0.0009190448,0.001139878,0.009397055,0.0004431416,0.00224789,0.002532388,0.001925217,0.2196559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484349,"about_ca_system_score_gemma":0.002204728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952419,"about_ca_topic_score_gemma":0.0332659,"domain_scores_codex":[0.9989957,0.0001377097,0.000124717,0.000363651,0.0002096857,0.0001685417],"domain_scores_gemma":[0.9977617,0.0006180191,0.0002198013,0.0005808184,0.0005539597,0.0002656658],"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":[0.00003088134,0.00001106866,0.0003747778,0.0005050485,0.00001389258,0.00001385791,0.00002048668,0.0001213323,0.0001135788,0.0003606663,0.9970447,0.001389722],"study_design_scores_gemma":[0.00007424456,0.000009248239,0.001780655,0.0001773802,0.00001407701,0.0000380435,0.00006356388,0.000143579,0.0001851299,0.0008144879,0.9966814,0.00001816191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000432247,0.0000265589,0.00003911071,0.00003201443,0.00001225792,0.000004568188,0.9988844,0.0003239309,0.0006339964],"genre_scores_gemma":[0.0001531256,0.00003260584,0.0001825673,0.00004631693,0.000003521182,0.00003828739,0.9989375,0.0001333597,0.0004726469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397941,"threshold_uncertainty_score":0.5359421,"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."}}