{"id":"W6924705642","doi":"10.15468/dl.s34ghr","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); Listing (finance); Range (aeronautics); 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":[0.0009908916,0.002094834,0.001650008,0.005489222,0.001161879,0.002914332,0.002916156,0.00200926,0.2116762],"category_scores_gemma":[0.006469522,0.001035866,0.001311739,0.009737195,0.0004256565,0.0029609,0.003209221,0.002048981,0.3087888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826988,"about_ca_system_score_gemma":0.002548642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206796,"about_ca_topic_score_gemma":0.03953631,"domain_scores_codex":[0.9988378,0.0001374314,0.000140448,0.0004026532,0.0002680446,0.0002136274],"domain_scores_gemma":[0.9973544,0.0006335749,0.0002260466,0.0007204581,0.0007636445,0.0003019384],"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":[0.00002644424,0.000008613538,0.0003139425,0.000481719,0.0000119807,0.00001323456,0.00001985921,0.00008221655,0.0001023326,0.0003523194,0.9970715,0.001515829],"study_design_scores_gemma":[0.00005027124,0.000006748558,0.00137356,0.0001743224,0.00001087468,0.00003125708,0.00005875325,0.000108611,0.0001629972,0.0006409354,0.9973672,0.00001451813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002956765,0.00002424346,0.00004768835,0.00003397913,0.00001257806,0.000005236494,0.9985234,0.0005202324,0.0008029513],"genre_scores_gemma":[0.0001256438,0.00003408263,0.000215105,0.00004911916,0.000003818084,0.00003884908,0.9987358,0.0002141992,0.0005833863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7883238,"threshold_uncertainty_score":0.7081275,"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."}}