{"id":"W6962335799","doi":"10.15468/dl.xvwwph","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); Listing (finance); Range (aeronautics); Confidentiality","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":[0.0009357798,0.001784902,0.001489688,0.004875186,0.00112968,0.002929046,0.002853393,0.001877856,0.2118775],"category_scores_gemma":[0.006473563,0.001032021,0.001223575,0.009383313,0.0004378431,0.002652113,0.002940641,0.002048076,0.2635314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815501,"about_ca_system_score_gemma":0.002511658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236095,"about_ca_topic_score_gemma":0.03868446,"domain_scores_codex":[0.9990381,0.0001115366,0.0001223271,0.0003380034,0.0002250671,0.0001650336],"domain_scores_gemma":[0.9975217,0.000662603,0.0002056278,0.0006617369,0.0006794975,0.0002688909],"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":[0.00002437582,0.000008370346,0.0003230533,0.0004845594,0.00001183441,0.0000128599,0.00002281695,0.00008725596,0.00009440208,0.0004319825,0.9968596,0.001638882],"study_design_scores_gemma":[0.00004983499,0.000005011955,0.001345341,0.0001786136,0.00001056335,0.00002960173,0.00006365432,0.0001085987,0.0001576802,0.000753921,0.9972832,0.00001413059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002894919,0.00002126117,0.00005241631,0.00003578677,0.00001130059,0.00000528677,0.9985458,0.000448494,0.0008508275],"genre_scores_gemma":[0.0001650682,0.00003979685,0.0002722283,0.00005446176,0.000003830415,0.00004871322,0.9985197,0.0002446806,0.0006514789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7881225,"threshold_uncertainty_score":0.7088007,"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."}}