{"id":"W6887173009","doi":"10.15468/dl.u62g5n","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)","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":[0.0009007101,0.0019761,0.001454169,0.004705667,0.000932516,0.002383035,0.002549867,0.001865605,0.1639789],"category_scores_gemma":[0.005764481,0.0008900783,0.001188848,0.009519864,0.0004296285,0.002141526,0.002471011,0.001788441,0.2152369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142722,"about_ca_system_score_gemma":0.002219882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977139,"about_ca_topic_score_gemma":0.03243447,"domain_scores_codex":[0.9990172,0.000133041,0.0001241794,0.0003579288,0.0001997301,0.0001678645],"domain_scores_gemma":[0.9976769,0.0006780702,0.0002221841,0.000597356,0.0005606596,0.0002649227],"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":[0.00003218254,0.00001172895,0.0004127251,0.0005245735,0.00001425328,0.00001427803,0.00002136714,0.0001363466,0.0001230368,0.0003616461,0.9968296,0.001518261],"study_design_scores_gemma":[0.00007808153,0.00001092031,0.001998375,0.0001862207,0.00001524975,0.00003760002,0.00006919541,0.0001638406,0.0002032318,0.0008214784,0.996397,0.00001878219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004823834,0.00002519656,0.00004134138,0.00003262482,0.00001243869,0.000004946086,0.9988557,0.0003630531,0.0006164317],"genre_scores_gemma":[0.0001683647,0.00003266493,0.0001928466,0.00004589038,0.000003631996,0.00004136676,0.9988829,0.0001481495,0.0004840879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360211,"threshold_uncertainty_score":0.5485641,"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."}}