{"id":"W1605785205","doi":"10.11234/gi1990.13.469","title":"A π-Calculus Model of the Na Pump","year":2002,"lang":"en","type":"article","venue":"Proceedings Genome Informatics Workshop/Genome informatics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calculus (dental); Applied mathematics; Computer science; Mathematics; Medicine; Dentistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008721843,0.0004835464,0.0005577381,0.0004686616,0.0004949521,0.0006246243,0.003789646,0.0002780852,0.00002938666],"category_scores_gemma":[0.000221785,0.0003803152,0.0002755187,0.001912097,0.0002122747,0.002672817,0.001587383,0.0006267105,0.0001162815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823506,"about_ca_system_score_gemma":0.0001015469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001347015,"about_ca_topic_score_gemma":2.323924e-7,"domain_scores_codex":[0.9956487,0.00001314215,0.002332912,0.0001806918,0.001020358,0.0008042043],"domain_scores_gemma":[0.9963582,0.00008269682,0.001648498,0.0009086096,0.0007616481,0.0002403407],"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":[0.00001650136,0.0003396301,0.0002598332,0.001697901,0.000232932,7.937348e-7,0.1967879,0.6959017,0.0005000343,0.08585874,0.003706233,0.01469775],"study_design_scores_gemma":[0.0003552562,0.00005095271,0.00003400811,0.00009736624,0.00002388305,0.0000360835,0.0009736844,0.9925612,0.0005216511,0.001335618,0.003533459,0.0004768245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01736785,0.0001449959,0.926256,0.0003958079,0.0001811772,0.0007859353,0.00001530441,0.0006769723,0.05417598],"genre_scores_gemma":[0.6316754,0.0002989456,0.3655036,0.001354247,0.00005639159,0.00005623175,0.000006939669,0.00003525417,0.001012919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6143076,"threshold_uncertainty_score":0.9998649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703591955800949,"score_gpt":0.2247649212944917,"score_spread":0.1977290017364822,"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."}}