{"id":"W4396378460","doi":"10.15468/dl.j66v83","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001799166,0.0002361043,0.0001852193,0.00004616247,0.000112901,0.00009454343,0.0004167905,0.000615951,0.0003360675],"category_scores_gemma":[0.0001947439,0.0002155845,0.0001549682,0.0001502941,0.0002609241,0.00001047836,0.0004621293,0.0002279953,0.2026241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005884998,"about_ca_system_score_gemma":0.0001542555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007685916,"about_ca_topic_score_gemma":0.00001291237,"domain_scores_codex":[0.9989306,0.00003785639,0.0002566016,0.0002705342,0.0002622313,0.0002422136],"domain_scores_gemma":[0.9992309,0.000005497246,0.0001104389,0.0004221237,0.0001078786,0.0001231627],"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":[0.00004143876,0.00001792,0.000163451,0.0001649136,0.0000513182,0.000002602125,0.000009317651,0.000001078142,0.000001385409,2.147853e-8,0.9947819,0.004764699],"study_design_scores_gemma":[0.0001640147,0.00009752769,0.00002033372,0.000003996357,0.00004813503,0.000009346036,0.00007832212,5.795437e-8,0.00002993535,9.219614e-7,0.9993116,0.0002358589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007090137,0.0002475049,0.000007709398,0.0001881456,0.000806239,0.0001265407,0.9977658,0.000054161,0.00009485004],"genre_scores_gemma":[0.00002446359,0.0002069387,0.000004259124,0.0004927762,0.000006047601,0.000003701028,0.9992613,1.845077e-8,5.468223e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.202288,"threshold_uncertainty_score":0.879128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134108559247993,"score_gpt":0.2402568754463787,"score_spread":0.2268460195215795,"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."}}