{"id":"W2225058545","doi":"10.1007/s00216-015-9122-3","title":"Precision mixology challenge","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medical laboratory; Analytical Chemistry (journal); Biochemical engineering; Management science; Nanotechnology; Engineering; Chemistry; Environmental chemistry; Materials science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02849496,0.002023221,0.002807043,0.004607074,0.003445275,0.01193006,0.008784704,0.006415036,0.02808922],"category_scores_gemma":[0.0344597,0.001765058,0.001931122,0.002622565,0.005514076,0.01169,0.01303026,0.01102659,0.02085616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004908982,"about_ca_system_score_gemma":0.009110976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581717,"about_ca_topic_score_gemma":0.001921907,"domain_scores_codex":[0.9633169,0.004764418,0.0009195956,0.007250819,0.02242686,0.001321413],"domain_scores_gemma":[0.9670135,0.01181136,0.001408144,0.007384245,0.01117178,0.001211014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005237528,0.0003095702,0.003494179,0.001987011,0.0005210536,0.0005091293,0.0007720924,0.003561767,0.04896209,0.3918059,0.1209978,0.4265558],"study_design_scores_gemma":[0.00009902944,0.0003444059,0.001480671,0.0004533252,0.0001364096,0.001222545,0.0005196069,0.006049829,0.05466513,0.244871,0.6899993,0.0001587503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01574206,0.04300557,0.6425518,0.1034547,0.01442415,0.0008709213,0.002821939,0.007318215,0.1698105],"genre_scores_gemma":[0.2638658,0.02971533,0.3542767,0.09361434,0.02922477,0.001748247,0.003985095,0.004188231,0.2193816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02849496,"threshold_uncertainty_score":0.1506975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114728243433961,"score_gpt":0.2750502740699085,"score_spread":0.2635774497265124,"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."}}