{"id":"W4247123670","doi":"10.17504/protocols.io.bhqkj5uw","title":"Dialysis using D-Tubes v2","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Analyte; Dialysis; Biomolecule; Precipitation; Sample (material); Chromatography; Sample preparation; Materials science; Chemistry; Nanotechnology; Medicine; Internal medicine; Physics","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":[0.004370201,0.003949072,0.00274943,0.00201459,0.00151659,0.002338138,0.002700738,0.002428036,0.03062518],"category_scores_gemma":[0.004445057,0.001214616,0.001167056,0.001790673,0.0008510663,0.002165553,0.001760723,0.003426893,0.02459915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666365,"about_ca_system_score_gemma":0.001208085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005102657,"about_ca_topic_score_gemma":0.0005307128,"domain_scores_codex":[0.995002,0.00110717,0.0006412514,0.001731166,0.0009253017,0.0005931372],"domain_scores_gemma":[0.9975901,0.0007621071,0.000247738,0.0007274754,0.0004858101,0.0001868741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00244913,0.0008066147,0.001967039,0.003797806,0.0006915655,0.0006902457,0.0007473196,0.001086558,0.7995588,0.01053022,0.05251775,0.125157],"study_design_scores_gemma":[0.0003297906,0.0006333136,0.002475964,0.0003559066,0.0002967579,0.001749888,0.0001193097,0.004063081,0.6844434,0.003119896,0.3022856,0.0001271517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1793496,0.02351647,0.653604,0.003636121,0.005485498,0.00811177,0.01649877,0.05059974,0.05919812],"genre_scores_gemma":[0.1991135,0.0251592,0.5366882,0.005050214,0.001457079,0.02272047,0.07165118,0.01300668,0.1251535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03062518,"threshold_uncertainty_score":0.1024515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569809742201479,"score_gpt":0.2262766793455006,"score_spread":0.2005785819234858,"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."}}