{"id":"W6924884560","doi":"10.15468/dl.qxvk8f","title":"Occurrence Download","year":2023,"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); Range (aeronautics); Danaus; Data set","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":[0.001009471,0.001976005,0.00165056,0.005113462,0.001026683,0.002698828,0.00293003,0.002075632,0.1628042],"category_scores_gemma":[0.005892376,0.0009348165,0.001239173,0.01138671,0.0004516334,0.002298502,0.002569813,0.002010406,0.2176117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794512,"about_ca_system_score_gemma":0.002737974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02997046,"about_ca_topic_score_gemma":0.04600602,"domain_scores_codex":[0.9989052,0.0001392372,0.0001387509,0.0003792227,0.000248706,0.0001888559],"domain_scores_gemma":[0.9975903,0.0006582368,0.0002250169,0.000618619,0.0006292151,0.0002785864],"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":[0.00002853823,0.000009701767,0.0003532653,0.0005289179,0.00001504432,0.00001336587,0.00002290666,0.0001219605,0.0001071234,0.0003975462,0.9970604,0.001341267],"study_design_scores_gemma":[0.0000652902,0.000006667824,0.001697666,0.0001902624,0.00001420658,0.00003179536,0.00006841095,0.0001321368,0.0001770132,0.0007583409,0.9968414,0.00001677306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003187448,0.00002443433,0.00003791742,0.0000299983,0.00001015378,0.000004083098,0.9990122,0.0003071805,0.0005421477],"genre_scores_gemma":[0.000141833,0.0000328337,0.0001720991,0.00004070977,0.000002897041,0.00003494003,0.9990094,0.0001369636,0.0004283893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371958,"threshold_uncertainty_score":0.5446344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}