{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009573121,0.0002512207,0.0002212378,0.00006716216,0.0003042304,0.0001865103,0.0004477702,0.0003104056,0.003533239],"category_scores_gemma":[0.0001612943,0.0002747285,0.0001678019,0.0002959442,0.00008244065,0.0005290777,0.0002378886,0.0003982159,0.5091168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345024,"about_ca_system_score_gemma":0.0001688064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034689,"about_ca_topic_score_gemma":0.00006453704,"domain_scores_codex":[0.9987069,0.00001302573,0.0003656957,0.0001996228,0.0004080983,0.0003066785],"domain_scores_gemma":[0.9988561,0.0000339923,0.0002720391,0.0004694797,0.000237626,0.0001307219],"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":[0.00002929865,0.00003120625,0.0001265385,0.0002086478,0.00005225304,0.000002499839,0.00001827491,0.000005362923,0.000001051612,1.082706e-7,0.9990424,0.0004823802],"study_design_scores_gemma":[0.0002086164,0.00001449539,0.000007417248,0.000004886973,0.00005363291,0.000004256282,0.000158484,4.680792e-7,0.00003131188,0.000001732403,0.9992555,0.0002592355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003863115,0.000007241928,0.000001253034,0.0001177025,0.0004427219,0.00008299184,0.9981954,0.0001814804,0.0005848637],"genre_scores_gemma":[0.000005853434,0.000110349,5.45726e-7,0.0001988193,0.000002355316,0.000007798948,0.9996716,2.132692e-8,0.000002612001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5055835,"threshold_uncertainty_score":0.9999705,"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."}}