{"id":"W2358846952","doi":"","title":"Experimental Teaching Example of Polymerase Chain Reaction","year":2014,"lang":"en","type":"article","venue":"Northwest Medical Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Polymerase chain reaction; Process (computing); Computer science; Quality (philosophy); Polymerase; Scheme (mathematics); Mathematics education; Chain (unit); Polymerase chain reaction optimization; Computational biology; Chemistry; Biochemistry; Psychology; Biology; Mathematics; DNA; Physics; Nested polymerase chain reaction; 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":[0.001789427,0.0008189162,0.0005676451,0.001008249,0.001452519,0.0008182294,0.001486005,0.001517193,0.02690966],"category_scores_gemma":[0.002613511,0.0004202612,0.0005955381,0.0009028651,0.0009494356,0.0009089849,0.001366345,0.00171139,0.007246263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109884,"about_ca_system_score_gemma":0.001185907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008377843,"about_ca_topic_score_gemma":0.001010328,"domain_scores_codex":[0.998103,0.0004956227,0.0001371494,0.0004605007,0.0006806921,0.0001229405],"domain_scores_gemma":[0.9984019,0.000653194,0.00007042455,0.0004270547,0.0003157742,0.000131557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00149615,0.003423142,0.006188055,0.004758254,0.00005472247,0.002056643,0.004269491,0.005463677,0.2879833,0.09551542,0.03279864,0.5559924],"study_design_scores_gemma":[0.0004619801,0.003795458,0.005975819,0.0007639585,0.0001338718,0.002904009,0.001346874,0.01364145,0.3009644,0.04079698,0.6289893,0.0002258953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04813972,0.002279192,0.8022634,0.002704089,0.00123155,0.003831662,0.001502702,0.005234994,0.1328125],"genre_scores_gemma":[0.2331729,0.003164873,0.7131038,0.001109504,0.0002765293,0.004754199,0.0009357226,0.0003187607,0.04316375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02690966,"threshold_uncertainty_score":0.09002173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264275813229094,"score_gpt":0.3108193534811854,"score_spread":0.2981765953488945,"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."}}