{"id":"W3135357597","doi":"10.1101/2021.03.02.433630","title":"Optimal transport analysis reveals trajectories in steady-state systems","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Burroughs Wellcome Fund","keywords":"Snapshot (computer storage); Computer science; Systems biology; Population; Statistical physics; Mathematical optimization; Mathematics; Biology; Physics; Computational biology","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":[0.001290049,0.0004806797,0.0006956507,0.001624553,0.0005534018,0.0009846607,0.0006238439,0.0008877533,0.001932124],"category_scores_gemma":[0.004673826,0.0004178048,0.0008450694,0.000719819,0.001192586,0.001090802,0.000707005,0.0006964387,0.0002043044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779458,"about_ca_system_score_gemma":0.001248691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102119,"about_ca_topic_score_gemma":0.004770658,"domain_scores_codex":[0.9997513,0.00007744524,0.00001780763,0.00007370296,0.00004085551,0.00003889425],"domain_scores_gemma":[0.9981198,0.001349646,0.0002095246,0.00009602933,0.0001498715,0.00007511889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001134944,0.00004488417,0.0050535,0.0001319154,0.00006224185,0.0001294114,0.0001579396,0.9215083,0.00890766,0.05408416,0.0006946253,0.00911184],"study_design_scores_gemma":[0.000002390282,0.000006158694,0.0003106177,0.000004191237,0.000003103633,0.000007681052,0.00001151296,0.9891102,0.0008030192,0.009576955,0.0001585966,0.000005650656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2878048,0.0002299995,0.7082171,0.0004079585,0.00002582273,0.00004176365,0.0005246427,0.0007723623,0.001975632],"genre_scores_gemma":[0.92386,0.0001954133,0.07362988,0.00005221466,0.00001468348,0.00007599434,0.0006754695,0.0002124165,0.001284079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0102119,"threshold_uncertainty_score":0.02030492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124320754382416,"score_gpt":0.2135689704974992,"score_spread":0.2011368950592576,"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."}}