{"id":"W3096984264","doi":"10.17504/protocols.io.bnz4mf8w","title":"SPRI bead mix v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bead; Magnetic bead; Chromatography; Drop (telecommunication); Scalability; Protocol (science); Aqueous solution; Chemistry; Aqueous two-phase system; Computer science; Materials science; Nanotechnology; Composite material; Database; Telecommunications; Organic chemistry; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.00007189805,0.0002577984,0.0002095888,0.00002563853,0.00005077654,0.00002697809,0.0005065086,0.0006616664,0.00008462166],"category_scores_gemma":[0.00003168539,0.0002454418,0.0002196234,0.00004531635,0.00008170778,3.576369e-7,0.001310139,0.0003169579,0.00007361476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008905255,"about_ca_system_score_gemma":0.0001035217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003516886,"about_ca_topic_score_gemma":0.00001487085,"domain_scores_codex":[0.9987097,0.00003960048,0.0002262371,0.0007396596,0.00007994366,0.0002048014],"domain_scores_gemma":[0.998885,0.000003221721,0.0001014569,0.0008337761,0.00006346643,0.0001131255],"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":[0.00002135713,0.00006407699,0.0003339208,0.00005020521,0.0001324594,0.000005938808,0.000009166417,0.00001751739,0.8825685,0.005007125,0.1091044,0.002685355],"study_design_scores_gemma":[0.0001244119,0.0001187061,0.0003287139,0.00001315724,0.00003724283,0.000009029492,0.000007290022,0.00007300358,0.5021228,0.003920272,0.4928303,0.0004150841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2172777,0.00373673,0.644437,0.01940725,0.0006964042,0.002858685,0.0005622426,0.0006467475,0.1103773],"genre_scores_gemma":[0.9483194,0.0008628248,0.03907616,0.004729788,0.0007118112,0.00040741,0.003294284,0.00007283446,0.002525441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7310418,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799759595449695,"score_gpt":0.291997077516029,"score_spread":0.273999481561532,"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."}}