{"id":"W4238375366","doi":"10.26434/chemrxiv.13515086.v2","title":"Topino: A Graphical Tool for Quantitative Assessment of Molecular Stream Separations","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bottleneck; Software; Graphical user interface; Data stream; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00305979,0.003613721,0.001881126,0.004586108,0.0007175086,0.002567022,0.003058964,0.001477443,0.08603602],"category_scores_gemma":[0.008933884,0.001174595,0.001398076,0.001636023,0.0008051781,0.002746769,0.003048643,0.003157459,0.02521945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006200821,"about_ca_system_score_gemma":0.001201508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008324145,"about_ca_topic_score_gemma":0.0008600287,"domain_scores_codex":[0.9977399,0.0003423445,0.0001893356,0.0003843265,0.001158207,0.0001858526],"domain_scores_gemma":[0.9954973,0.002391084,0.0004259106,0.0004392013,0.001019463,0.0002269745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003057907,0.0005689321,0.005150347,0.004899301,0.0006384721,0.001124776,0.0008669703,0.007833048,0.2089374,0.0152058,0.3916093,0.3601077],"study_design_scores_gemma":[0.0005107952,0.0007426697,0.01063176,0.001000248,0.0004363578,0.001936709,0.0003088679,0.1409545,0.3230945,0.01841845,0.501073,0.0008921816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008159135,0.001163756,0.5052468,0.0004522655,0.0005672429,0.0005335097,0.02608282,0.446951,0.01084339],"genre_scores_gemma":[0.07274903,0.001964585,0.7619509,0.001557972,0.0004113612,0.004496148,0.04548395,0.091865,0.01952098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08603602,"threshold_uncertainty_score":0.2878192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485224186102905,"score_gpt":0.292199672175915,"score_spread":0.277347430314886,"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."}}