{"id":"W6943203301","doi":"10.15468/dl.ktxmkz","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); Order (exchange)","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":[0.0009614634,0.002054709,0.001693395,0.004946063,0.001040158,0.002534727,0.002931513,0.002243447,0.1554421],"category_scores_gemma":[0.005789653,0.0009506603,0.001234581,0.009704191,0.0004702877,0.002293943,0.002654583,0.002078164,0.2208058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739541,"about_ca_system_score_gemma":0.002438152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356851,"about_ca_topic_score_gemma":0.03867473,"domain_scores_codex":[0.9989935,0.0001265489,0.0001278047,0.0003459551,0.0002342836,0.000172058],"domain_scores_gemma":[0.9977669,0.0006087214,0.0002135863,0.0005858241,0.0005610635,0.0002639378],"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":[0.00002983377,0.00001172027,0.0003874125,0.0005739923,0.00001574523,0.00001629179,0.00002655432,0.00014575,0.0001321186,0.0003990696,0.9967494,0.001512287],"study_design_scores_gemma":[0.00007700773,0.000008175864,0.001887055,0.0002019949,0.00001470192,0.00003951386,0.00007632668,0.000166438,0.0001943311,0.0007682597,0.9965478,0.00001842867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004082795,0.00002680275,0.0000442534,0.00003340617,0.00001162552,0.000004993534,0.9988623,0.0003911236,0.0005847204],"genre_scores_gemma":[0.0001469733,0.00003115286,0.0001980229,0.00004083625,0.000002929549,0.000037876,0.9989931,0.0001458252,0.0004032808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445579,"threshold_uncertainty_score":0.5200058,"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."}}