{"id":"W6905799546","doi":"10.15468/dl.9728h8","title":"Occurrence Download","year":2024,"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); Data set; Set (abstract data type)","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":[0.0009268783,0.001911462,0.001482278,0.004997834,0.0009294314,0.002468976,0.002783844,0.001883882,0.1539255],"category_scores_gemma":[0.005640496,0.0008818754,0.001177184,0.009954073,0.0004219337,0.002141995,0.002486889,0.001809955,0.2215967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605318,"about_ca_system_score_gemma":0.00250127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02509503,"about_ca_topic_score_gemma":0.04097584,"domain_scores_codex":[0.9989532,0.000143287,0.0001323428,0.0003490538,0.0002394383,0.0001825784],"domain_scores_gemma":[0.9976211,0.00058375,0.0002255606,0.0006431712,0.0006453745,0.000280903],"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":[0.00002956944,0.00001031671,0.0003683412,0.0004657719,0.00001550135,0.00001281325,0.00001933169,0.000119742,0.0001076108,0.0003549042,0.9970584,0.001437662],"study_design_scores_gemma":[0.00006635053,0.000007392804,0.001859899,0.0001688362,0.00001417402,0.00003177473,0.00005996295,0.0001336143,0.0001929899,0.0007472965,0.9967011,0.00001649603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003923573,0.00002562389,0.00003683164,0.00003224904,0.00001010853,0.000004652562,0.9989114,0.0003265597,0.0006134487],"genre_scores_gemma":[0.0001499765,0.00003107249,0.0001608843,0.00004144313,0.000003221289,0.0000328114,0.9990087,0.0001184491,0.0004534178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460745,"threshold_uncertainty_score":0.514932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}