{"id":"W2969219984","doi":"10.1039/c9cc04226a","title":"Beacon-mediated exponential amplification reaction (BEAR) using a single enzyme and primer","year":2019,"lang":"en","type":"article","venue":"Chemical Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Health; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Primer (cosmetics); Exponential function; Enzyme; Chemistry; Combinatorial chemistry; Biochemistry; Mathematics; Organic chemistry","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":[0.00523917,0.002917285,0.002450547,0.002121256,0.0007347528,0.001043161,0.001813321,0.001771361,0.005177104],"category_scores_gemma":[0.006291711,0.002055514,0.001148478,0.001104958,0.001354293,0.001506729,0.002493987,0.005512933,0.00518832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000557686,"about_ca_system_score_gemma":0.0008030316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729066,"about_ca_topic_score_gemma":0.0003628607,"domain_scores_codex":[0.9944276,0.001504241,0.0003405443,0.001848409,0.001416652,0.0004626537],"domain_scores_gemma":[0.9959384,0.002055706,0.0006292957,0.0005213712,0.0005339357,0.0003213383],"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":[0.0002954718,0.0001936689,0.000353234,0.0005880725,0.00006113412,0.0001486938,0.0002902516,0.0002606118,0.9663866,0.00308053,0.002129041,0.0262125],"study_design_scores_gemma":[0.00006904277,0.0004354994,0.0003721651,0.00005925438,0.00005245044,0.0004973109,0.00003777885,0.003839153,0.9750634,0.0008712568,0.01863965,0.00006311761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.023116,0.0007019873,0.9676904,0.0001826896,0.0003185048,0.000525126,0.0002413086,0.00436781,0.002856171],"genre_scores_gemma":[0.1203337,0.001600377,0.8505527,0.000472253,0.0001512184,0.002660997,0.002436998,0.001088335,0.02070353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00523917,"threshold_uncertainty_score":0.02770776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458774773874429,"score_gpt":0.3058020218954223,"score_spread":0.281214274156678,"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."}}