{"id":"W4238084981","doi":"10.1017/cbo9781139171267.002","title":"Introduction to mass transport mechanisms","year":2000,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mass transport; Transport phenomena; Mass transfer; Field (mathematics); Graduate students; Engineering; Engineering physics; Statistical physics; Mechanical engineering; Theoretical physics; Physics; Thermodynamics; Mathematics","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":[0.0003863968,0.001653775,0.00106827,0.001507497,0.001236577,0.002261255,0.001935169,0.002003465,0.07643461],"category_scores_gemma":[0.000833189,0.0007403818,0.001012201,0.001363983,0.001695681,0.004875022,0.001547248,0.003248813,0.0310762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322086,"about_ca_system_score_gemma":0.0009725124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007436972,"about_ca_topic_score_gemma":0.0007533205,"domain_scores_codex":[0.9996623,0.00003094476,0.00001572787,0.00008691329,0.0001703685,0.00003373906],"domain_scores_gemma":[0.9996392,0.0001566359,0.00002203251,0.00005441488,0.00009852312,0.0000291465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003292532,0.00007018491,0.0001101427,0.0008506944,0.00001829282,0.0002811123,0.0003426296,0.001551717,0.002810131,0.6611195,0.2325495,0.1002631],"study_design_scores_gemma":[0.000003862676,0.00002127079,0.00009115007,0.0001782497,0.000004716671,0.0003295876,0.00003238611,0.0007122948,0.0004311079,0.1000424,0.8981425,0.00001053022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002094683,0.1998713,0.06657294,0.01003574,0.01188167,0.0001727473,0.001141952,0.001474012,0.7067549],"genre_scores_gemma":[0.02326345,0.1429592,0.02953758,0.004378578,0.006856927,0.000273232,0.001074939,0.0006788368,0.7909772],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07643461,"threshold_uncertainty_score":0.2556993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460617147687528,"score_gpt":0.2190905512182681,"score_spread":0.2044843797413929,"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."}}