{"id":"W4395778407","doi":"10.15468/dl.ah6ilb","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic 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":[0.001177963,0.002236316,0.00188716,0.004866893,0.001109038,0.002978613,0.003410511,0.002240601,0.174113],"category_scores_gemma":[0.006535443,0.001058796,0.00119308,0.009382838,0.0005232842,0.00259281,0.002993794,0.002457839,0.2444311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816856,"about_ca_system_score_gemma":0.002604829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01950763,"about_ca_topic_score_gemma":0.03094877,"domain_scores_codex":[0.9989439,0.0001361314,0.0001339477,0.00037567,0.0002412183,0.0001690648],"domain_scores_gemma":[0.9976062,0.0006559062,0.0002193106,0.0006563104,0.0005540519,0.0003082934],"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":[0.00003450049,0.00001254442,0.000337873,0.0005133029,0.0000150898,0.00001658191,0.00002476484,0.0001382152,0.0001136605,0.0004346707,0.996956,0.001402776],"study_design_scores_gemma":[0.00008437649,0.00000717289,0.001441766,0.0001730777,0.0000138408,0.00003635351,0.00006718995,0.000184416,0.0002152834,0.0009998264,0.9967586,0.00001811293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003479271,0.0000218769,0.00005102919,0.00003433349,0.00001059295,0.000005821803,0.9987242,0.000490173,0.0006272255],"genre_scores_gemma":[0.0001393441,0.00002908955,0.0002249116,0.00004088818,0.00000292147,0.00004387514,0.9988676,0.0002041136,0.0004472662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825887,"threshold_uncertainty_score":0.5824659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261010580925862,"score_gpt":0.2090413260335542,"score_spread":0.1964312202242955,"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."}}