{"id":"W2316077084","doi":"10.1021/ac400151v","title":"Single-Cell-Kinetics Approach to Discover Functionally Distinct Subpopulations within Phenotypically Uniform Populations of Cells","year":2013,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Chemistry; Population; Kinetics; Cell; Membrane; Homogeneous; Enzyme kinetics; Biophysics; Transporter; Enzyme; Single-cell analysis; Membrane transport; Cell biology; Biochemistry; Biology; Gene; Active site; Physics; Thermodynamics","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":[0.001151663,0.0005023709,0.0009780048,0.0009480601,0.0004230655,0.001089394,0.000925142,0.002215354,0.001218526],"category_scores_gemma":[0.001624207,0.0004650632,0.0004823044,0.0005526975,0.00106868,0.001110438,0.0006095832,0.00258282,0.001423048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048322,"about_ca_system_score_gemma":0.0004031082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004609074,"about_ca_topic_score_gemma":0.0007719572,"domain_scores_codex":[0.9992595,0.0001600114,0.00004789102,0.0002205591,0.0002572199,0.00005480149],"domain_scores_gemma":[0.9987468,0.000672775,0.0001003185,0.0001967927,0.0002075341,0.00007581314],"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":[0.0003842077,0.000193072,0.006317411,0.0007207991,0.0000994317,0.001199826,0.0002759622,0.002097129,0.8770544,0.0212079,0.008551712,0.08189805],"study_design_scores_gemma":[0.0001102329,0.0005366986,0.005915222,0.00006221147,0.00008972167,0.007389674,0.0002375172,0.08237864,0.8035669,0.02793041,0.07168604,0.00009663155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1301044,0.01488838,0.8210426,0.0172057,0.0012234,0.0006237539,0.001122725,0.002803566,0.0109854],"genre_scores_gemma":[0.5839754,0.009269346,0.3867147,0.007227356,0.0006476028,0.001497385,0.0006304408,0.0002441838,0.00979354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002215354,"threshold_uncertainty_score":0.007606149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426045081003063,"score_gpt":0.2602636637030196,"score_spread":0.216003212892989,"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."}}