{"id":"W2801685596","doi":"10.1002/ange.201712217","title":"Die exponentielle isotherme Amplifikation von Nukleinsäuren und Assays zur Detektion von Proteinen, Zellen, kleinen Molekülen und Enzymaktivitäten: Anwendungen für EXPAR","year":2018,"lang":"de","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Alberta Health; Canada Excellence Research Chairs, Government of Canada","keywords":"Chemistry; Molecular biology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004153715,0.0009655943,0.000581559,0.001618067,0.0002738177,0.001096161,0.0009195064,0.0008959305,0.003421873],"category_scores_gemma":[0.005111731,0.000789802,0.0007455464,0.0006808336,0.0007835015,0.001189672,0.0007125129,0.001678545,0.00190957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000581625,"about_ca_system_score_gemma":0.000472467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090808,"about_ca_topic_score_gemma":0.0006523283,"domain_scores_codex":[0.9967925,0.001135018,0.0002179958,0.0005642675,0.001189371,0.0001007696],"domain_scores_gemma":[0.9955412,0.002355697,0.0004592215,0.000521034,0.001020418,0.0001025101],"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":[0.000126441,0.00007469027,0.001304787,0.0002912,0.00002511042,0.00004007922,0.0001111422,0.0007895093,0.9668831,0.0007566094,0.0002255862,0.02937168],"study_design_scores_gemma":[0.00001778038,0.0003606356,0.004791469,0.00004393499,0.00002761833,0.0001854793,0.00005772118,0.007617547,0.978916,0.0007786851,0.007161075,0.00004216637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163369,0.008157817,0.7639925,0.0007742778,0.0003099187,0.0007027882,0.0009025614,0.002291374,0.00653182],"genre_scores_gemma":[0.3576828,0.006247689,0.6180782,0.0005754469,0.00008846132,0.001002721,0.001510116,0.0005319411,0.01428252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004153715,"threshold_uncertainty_score":0.02196717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612032448132172,"score_gpt":0.2949806523783472,"score_spread":0.2788603278970255,"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."}}