{"id":"W6924718503","doi":"10.15468/dl.xtbyaj","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); Alien; Information system","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":[0.0009775381,0.001859082,0.001626101,0.005049833,0.0009917336,0.002550749,0.002649083,0.002134535,0.1562973],"category_scores_gemma":[0.006127161,0.0008780842,0.001279629,0.009864815,0.0004430128,0.002245995,0.002517888,0.001962382,0.216252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603432,"about_ca_system_score_gemma":0.002359805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236468,"about_ca_topic_score_gemma":0.03444762,"domain_scores_codex":[0.9989343,0.0001509147,0.0001358666,0.0003703998,0.000230135,0.0001782407],"domain_scores_gemma":[0.9974651,0.0007707323,0.0002303464,0.0006416677,0.0006187556,0.0002733287],"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":[0.00003040142,0.00001209135,0.0004005935,0.0006161672,0.00001550128,0.0000155974,0.00002419282,0.000126186,0.000127293,0.0003585005,0.996756,0.001517405],"study_design_scores_gemma":[0.0000740306,0.000009936434,0.002211534,0.0002350624,0.00001631571,0.00003910655,0.00008337172,0.0001525034,0.0001937892,0.0007053964,0.9962611,0.00001791694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000455752,0.00003240283,0.00003913074,0.00003951332,0.00001291055,0.000005501984,0.9988967,0.000340777,0.0005874475],"genre_scores_gemma":[0.0001672865,0.00003970706,0.0001757694,0.00004752929,0.000003816156,0.0000428462,0.9989308,0.000126062,0.00046626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437027,"threshold_uncertainty_score":0.5228665,"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."}}