{"id":"W2139654018","doi":"10.1371/journal.pone.0041368","title":"Correlation between Multi-Drug Resistance-Associated Membrane Transport in Clonal Cancer Cells and the Cell Cycle Phase","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"ATP-binding cassette transporter; Efflux; Cell cycle; Transporter; Kinetics; Cell; Membrane transport; Population; Multiple drug resistance; Biology; Cancer cell; Biophysics; Cell membrane; Drug resistance; Chemistry; Membrane; Biochemistry; Cancer; Genetics; Medicine; Gene","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":[0.0002101729,0.0001622279,0.00036462,0.0006301164,0.0001300654,0.0003655146,0.0002050829,0.0003457448,0.0013757],"category_scores_gemma":[0.0008451629,0.0001872994,0.0001569554,0.0004190626,0.0001432742,0.0002877709,0.0001662305,0.0003459995,0.000442154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223209,"about_ca_system_score_gemma":0.0001801735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007214792,"about_ca_topic_score_gemma":0.0005925281,"domain_scores_codex":[0.9998492,0.00003132201,0.00001582854,0.00004559591,0.00003221056,0.00002578084],"domain_scores_gemma":[0.9990442,0.0003508406,0.000192751,0.000102665,0.0002336466,0.00007592647],"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":[0.0008839666,0.00008552795,0.05875985,0.00007512698,0.00003179117,0.0001663167,0.0001395652,0.0008874703,0.9273602,0.0004158092,0.0001599333,0.01103445],"study_design_scores_gemma":[0.00003840401,0.0008732198,0.494122,0.00001489049,0.00006871124,0.001477805,0.0002442832,0.01297738,0.4849003,0.001108138,0.004127567,0.00004729851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939674,0.001723332,0.002705494,0.00004905885,0.000007463902,0.00003061872,0.0004441972,0.00005936744,0.00101295],"genre_scores_gemma":[0.997061,0.0004312496,0.001122715,0.00002863484,0.000005195908,0.00004368749,0.0004836763,0.00001638518,0.0008073782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013757,"threshold_uncertainty_score":0.004602194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295322991979263,"score_gpt":0.2523097130768956,"score_spread":0.2227774138789693,"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."}}