{"id":"W2470210262","doi":"10.4155/bio-2016-0144","title":"32Nd International Symposium on Microscale Separations and Bioanalysis (MSB 2016)","year":2016,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioanalysis; Microscale chemistry; Nanotechnology; Chromatography; Chemistry; Materials science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.004176955,0.002136004,0.001538367,0.003064879,0.001607488,0.00501709,0.001951141,0.002684968,0.05248588],"category_scores_gemma":[0.001511347,0.0008600992,0.001140931,0.0016835,0.001026546,0.002466042,0.004343143,0.003607627,0.0376588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835934,"about_ca_system_score_gemma":0.005689858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663952,"about_ca_topic_score_gemma":0.006823787,"domain_scores_codex":[0.9968983,0.0002458264,0.0001258692,0.0004038181,0.001814834,0.000511463],"domain_scores_gemma":[0.9975465,0.0001047135,0.0001287824,0.0001600172,0.001346903,0.0007131145],"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":[0.0006354876,0.0002570984,0.00101157,0.001046242,0.0001376432,0.0004061504,0.0002364085,0.001108556,0.07100072,0.01136233,0.5129673,0.3998305],"study_design_scores_gemma":[0.00001642565,0.0001212361,0.0009401531,0.0001481231,0.00002383634,0.0004090845,0.0000608695,0.0007974579,0.0181345,0.002108596,0.977196,0.00004363027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.02198919,0.3122731,0.2042873,0.02917901,0.1304383,0.001622773,0.004490013,0.006288506,0.2894318],"genre_scores_gemma":[0.05393103,0.09367865,0.06252733,0.004192809,0.01695292,0.0007186999,0.005970135,0.001776297,0.7602522],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05248588,"threshold_uncertainty_score":0.1755828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008077275880557976,"score_gpt":0.2335339720744307,"score_spread":0.2254566961938728,"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."}}