{"id":"W4396463475","doi":"10.15468/dl.h738kq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biochemical and Structural Characterization","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":[0.001175005,0.002456366,0.002012756,0.004973561,0.001229653,0.003125694,0.003641758,0.002685984,0.1544758],"category_scores_gemma":[0.006531061,0.001096564,0.001278554,0.009895022,0.000543,0.00255057,0.002854005,0.002506758,0.234528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929398,"about_ca_system_score_gemma":0.00277925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236451,"about_ca_topic_score_gemma":0.03558519,"domain_scores_codex":[0.9988347,0.0001518426,0.0001450319,0.0004093792,0.000277507,0.0001815232],"domain_scores_gemma":[0.9975895,0.0006746384,0.0002129955,0.0006332633,0.0005783085,0.000311357],"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":[0.00004115542,0.00001518722,0.0003642753,0.0006355738,0.00001839517,0.00001885831,0.00002339579,0.00015905,0.0001493159,0.0004610083,0.996761,0.001352709],"study_design_scores_gemma":[0.0001002783,0.000008544134,0.001452978,0.0002008352,0.00001639733,0.00003949905,0.00006286963,0.0002081492,0.0002371888,0.0009111988,0.9967425,0.0000195643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003962,0.00003064348,0.00004907197,0.00003545023,0.00001043591,0.000005251278,0.9987692,0.0004683543,0.0005919145],"genre_scores_gemma":[0.0001288003,0.00003438213,0.0001948841,0.00003855643,0.000002457387,0.00003298862,0.9990569,0.0001508857,0.0003602302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455243,"threshold_uncertainty_score":0.5167729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803384199831209,"score_gpt":0.2019340336335647,"score_spread":0.1939001916352526,"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."}}