{"id":"W4395382678","doi":"10.15468/dl.7w73qq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Metabolomics and Mass Spectrometry Studies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001191368,0.002379938,0.001784882,0.00496591,0.00112759,0.002848577,0.003400622,0.002397838,0.1220715],"category_scores_gemma":[0.006108979,0.0009374892,0.001252611,0.009254218,0.0005272549,0.002310819,0.002773011,0.002318298,0.183534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815303,"about_ca_system_score_gemma":0.002586632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113346,"about_ca_topic_score_gemma":0.03544603,"domain_scores_codex":[0.9988538,0.0001602848,0.0001427956,0.0004008849,0.0002681563,0.0001741171],"domain_scores_gemma":[0.9976331,0.0006795643,0.0002171643,0.0006109567,0.0005606349,0.0002986052],"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":[0.0000444972,0.00001730212,0.0004724062,0.000654399,0.00002069119,0.00002329143,0.00002630008,0.0001826693,0.0001520347,0.0004385846,0.9964074,0.001560344],"study_design_scores_gemma":[0.0001096902,0.00001036253,0.001967935,0.0002130061,0.00001760738,0.0000533305,0.00008039345,0.0002584048,0.0002601052,0.0009274796,0.9960801,0.0000215924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005048803,0.00003199689,0.00005148784,0.00003777615,0.00001121936,0.000006075015,0.9987684,0.0004802823,0.0005622459],"genre_scores_gemma":[0.0001563058,0.00003162932,0.0002079569,0.00003769327,0.000002746872,0.00003599279,0.9990662,0.0001342118,0.0003273194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8779285,"threshold_uncertainty_score":0.4083698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033428169566408,"score_gpt":0.2182395264366571,"score_spread":0.207905244740993,"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."}}