{"id":"W4205295458","doi":"10.1007/s00216-021-03748-z","title":"Data averaging challenge","year":2022,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007381492,0.000192651,0.0002305035,0.00001762666,0.0003948852,0.00003616995,0.0005755465,0.00006268318,0.02002961],"category_scores_gemma":[0.0001568329,0.0001823181,0.00005446798,0.0002625712,0.0004476006,0.0001459412,0.00297564,0.0005793374,0.0001991719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818844,"about_ca_system_score_gemma":0.00001949067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007348871,"about_ca_topic_score_gemma":0.00000601113,"domain_scores_codex":[0.9974958,0.00006604041,0.0002936705,0.001031951,0.0006035453,0.0005090159],"domain_scores_gemma":[0.9986141,0.0001544342,0.00005218621,0.0007658852,0.000003616494,0.0004098267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006570931,0.008198903,0.4189189,0.0009831244,0.001516209,0.004015376,0.001431469,0.001977314,0.03423277,0.007114366,0.08327169,0.4376828],"study_design_scores_gemma":[0.001199772,0.0001493922,0.01499625,0.00002038965,0.0003561948,0.0002094826,0.001008042,0.4209237,0.0008524873,0.003482724,0.555562,0.001239637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702795,0.0004207816,0.001057341,0.02295001,0.00008089328,0.0003656,0.0003997514,0.0001719156,0.2717587],"genre_scores_gemma":[0.9960827,0.00008551335,0.0001744047,0.001303878,0.00008230783,0.00001082816,0.00009137025,0.00001735707,0.002151635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4722903,"threshold_uncertainty_score":0.9808662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852144819876276,"score_gpt":0.2729614489697053,"score_spread":0.2344400007709425,"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."}}