{"id":"W6962110618","doi":"10.15468/dl.vd8wh4","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); State (computer science); The Internet","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":[0.000845554,0.001962569,0.001618897,0.005102262,0.001097473,0.002762002,0.00279567,0.002152205,0.1585884],"category_scores_gemma":[0.00563952,0.0009363037,0.001401153,0.009532092,0.0004388631,0.002523627,0.002693459,0.002048428,0.2353369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537683,"about_ca_system_score_gemma":0.002321007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899191,"about_ca_topic_score_gemma":0.03230814,"domain_scores_codex":[0.9989802,0.0001356585,0.0001306753,0.0003730702,0.0002097227,0.0001707138],"domain_scores_gemma":[0.9978129,0.0006021249,0.0001876596,0.0005877141,0.0005551819,0.0002544736],"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":[0.00003018818,0.0000119849,0.0004284123,0.0006373471,0.00001627232,0.00001779829,0.00002466852,0.0001148898,0.0001251992,0.0003590403,0.9965196,0.001714633],"study_design_scores_gemma":[0.00006769809,0.000008932779,0.001881951,0.0002150955,0.0000162249,0.00004817359,0.00007452161,0.0001754917,0.0001931131,0.0007706565,0.9965308,0.00001733948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005671333,0.0000453544,0.00005523819,0.00004661918,0.00001640879,0.000006792278,0.9984229,0.0005347403,0.0008152849],"genre_scores_gemma":[0.000178934,0.00004575066,0.0002173672,0.00006007792,0.000004581456,0.0000441565,0.9987435,0.000166918,0.0005387176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414117,"threshold_uncertainty_score":0.5305309,"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."}}