{"id":"W6924800586","doi":"10.15468/dl.ukunf3","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0008569677,0.002157346,0.001649792,0.005012809,0.001010788,0.002592396,0.002810519,0.002236158,0.09757092],"category_scores_gemma":[0.004617508,0.0007650211,0.001273713,0.009604271,0.0004511451,0.002102182,0.00238026,0.001850539,0.1607842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163671,"about_ca_system_score_gemma":0.00236325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448655,"about_ca_topic_score_gemma":0.03953917,"domain_scores_codex":[0.9990379,0.0001217049,0.0001241898,0.0003175671,0.0002400155,0.0001587482],"domain_scores_gemma":[0.9981811,0.0004387732,0.0001793355,0.0004762606,0.0004869751,0.0002376788],"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":[0.00004738152,0.00001729945,0.000598538,0.0007695392,0.00002208973,0.00002342258,0.00002380814,0.0002192482,0.0001856122,0.0005048884,0.9956684,0.001919727],"study_design_scores_gemma":[0.00007736101,0.00001003689,0.002002833,0.0001982076,0.00001535831,0.00004341633,0.00006374166,0.0002187089,0.0002434606,0.0008111375,0.9962972,0.00001856384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006720387,0.0000503149,0.00004035562,0.00003517192,0.00001232518,0.000005697818,0.9987276,0.000408743,0.0006525156],"genre_scores_gemma":[0.0002026914,0.00005239683,0.0001886156,0.00004306804,0.000003381386,0.00003028802,0.9989747,0.00009908885,0.0004058435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9024291,"threshold_uncertainty_score":0.3264073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283341673986196,"score_gpt":0.2316479209443885,"score_spread":0.2188145042045266,"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."}}