{"id":"W4395855631","doi":"10.15468/dl.a74e8s","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002739335,0.0003985391,0.0003105807,0.0000502394,0.001013019,0.00007935196,0.001023532,0.0002328047,0.4110609],"category_scores_gemma":[0.00007177202,0.0004447525,0.0001992542,0.000380063,0.0006429544,0.001002234,0.003616131,0.0004438955,0.4586813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019399,"about_ca_system_score_gemma":0.00001346527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001806873,"about_ca_topic_score_gemma":0.0000244682,"domain_scores_codex":[0.9975728,0.0001030101,0.0003675233,0.0004250733,0.001098768,0.0004328683],"domain_scores_gemma":[0.9988055,0.00002330964,0.000337685,0.0006340445,0.0000129652,0.0001864681],"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":[0.00003553948,0.00007518964,0.05276719,0.00003494555,0.00003231296,0.000005848928,0.0000667554,0.00008575695,1.036022e-7,7.843671e-9,0.9463285,0.0005678046],"study_design_scores_gemma":[0.0002979812,0.00006731787,0.003558499,5.455215e-7,0.00007024925,0.000005658696,0.0003262083,4.098439e-8,0.00000189886,5.153557e-7,0.9952267,0.0004443919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002249947,0.00001609452,5.565901e-7,0.000134502,0.0005663534,0.0004237404,0.9960228,0.00008720443,0.000498871],"genre_scores_gemma":[0.000008282543,0.0001517536,0.000005167482,0.0008920619,6.740248e-7,0.00001012486,0.9989312,1.988801e-8,6.945572e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04920869,"threshold_uncertainty_score":0.9998004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199344981304852,"score_gpt":0.197932707151188,"score_spread":0.1859392573381395,"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."}}