{"id":"W4396063432","doi":"10.15468/dl.fk27zp","title":"Occurrence Download","year":2022,"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; Internet privacy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009649029,0.002333493,0.001585738,0.005524612,0.001055053,0.002481152,0.002890322,0.002290525,0.09339168],"category_scores_gemma":[0.00502328,0.0008627208,0.001208847,0.009543084,0.0004801555,0.002185237,0.002443857,0.001995908,0.1411352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677381,"about_ca_system_score_gemma":0.002393552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952763,"about_ca_topic_score_gemma":0.03363592,"domain_scores_codex":[0.9989465,0.0001406903,0.00014005,0.0003664739,0.0002497436,0.0001566219],"domain_scores_gemma":[0.9980823,0.0005597177,0.0001874632,0.0004826509,0.0004234842,0.0002643375],"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":[0.00005090142,0.00002210628,0.0005829509,0.0007531111,0.00002248285,0.00003376177,0.00002899241,0.0002201466,0.0002131235,0.0005044973,0.9955119,0.002056095],"study_design_scores_gemma":[0.00009935114,0.00001196314,0.00229321,0.0002082417,0.00001878069,0.00007660111,0.00008399639,0.0003018676,0.0003066363,0.0008669847,0.9957113,0.00002092529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009224597,0.00004967615,0.00006028502,0.00004828909,0.00001341665,0.000007999278,0.9984877,0.0005093841,0.000731007],"genre_scores_gemma":[0.0002056674,0.00004029777,0.000210591,0.00004062503,0.000002934782,0.00003491225,0.9990391,0.00009151107,0.0003344911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9066083,"threshold_uncertainty_score":0.3124263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452719595757265,"score_gpt":0.2348229748668023,"score_spread":0.2202957789092297,"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."}}