{"id":"W1515023056","doi":"10.1002/9781118884003.ch20","title":"Differential equation models","year":2014,"lang":"en","type":"other","venue":"","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Identifiability; Session (web analytics); Code (set theory); Computer science; Applied mathematics; Differential (mechanical device); Algorithm; Theoretical computer science; Mathematics; Programming language; Machine learning; Physics","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":[0.001171956,0.001234176,0.0009656138,0.001037262,0.0007104841,0.002271397,0.001907767,0.002266114,0.02287018],"category_scores_gemma":[0.004771847,0.0004265444,0.001623132,0.001384713,0.0008249108,0.001934195,0.001941814,0.002653854,0.006547764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650422,"about_ca_system_score_gemma":0.001085802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006619628,"about_ca_topic_score_gemma":0.004963642,"domain_scores_codex":[0.9989779,0.0002974307,0.0000777054,0.0002245397,0.0003174983,0.0001049212],"domain_scores_gemma":[0.9983442,0.001029427,0.0001632263,0.0001228186,0.0002928157,0.0000474657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001672458,0.00005162146,0.001218357,0.0001556354,0.00004060689,0.0001515393,0.0001643236,0.07104823,0.0004154501,0.8874252,0.02032836,0.01898396],"study_design_scores_gemma":[0.00003428395,0.00003964122,0.0005065813,0.0001111754,0.00003738887,0.0002709933,0.00008862356,0.3977058,0.0003698901,0.4211296,0.1796618,0.0000441486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006296092,0.006175145,0.8395563,0.006165327,0.001344838,0.0002527351,0.006867573,0.0009791,0.1323629],"genre_scores_gemma":[0.3167924,0.01825394,0.3853961,0.003501225,0.001892272,0.001840964,0.01012001,0.0005628194,0.2616403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02287018,"threshold_uncertainty_score":0.0765084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232741137109698,"score_gpt":0.2696765678486451,"score_spread":0.2464024541376753,"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."}}