{"id":"W4389101922","doi":"10.1109/sensors56945.2023.10325264","title":"CRISPR-Based Diagnostic for In-Field Detection of Plant Pathogens","year":2023,"lang":"en","type":"article","venue":"","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CRISPR; Biology; Biotechnology; Computational biology; Genetics","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":[0.000522902,0.0006514591,0.000585591,0.0005922675,0.0002858581,0.0005186034,0.0006042321,0.00112572,0.001947079],"category_scores_gemma":[0.0008425717,0.0002687571,0.0004036579,0.0002456096,0.0004234758,0.0002654734,0.0005673649,0.0009134754,0.001052448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047036,"about_ca_system_score_gemma":0.0002967182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004258956,"about_ca_topic_score_gemma":0.00112135,"domain_scores_codex":[0.999138,0.0001504049,0.00004854488,0.0002348262,0.000320793,0.0001073457],"domain_scores_gemma":[0.9993287,0.0002373329,0.0001776989,0.00007116763,0.00009409012,0.00009091391],"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":[0.00004078477,0.00002020198,0.0002198027,0.00007544507,0.000005449193,0.00003993155,0.00001412998,0.0001244866,0.9968206,0.0001040483,0.0001581995,0.002376931],"study_design_scores_gemma":[0.0000099076,0.0002637667,0.001161487,0.00001155772,0.00001601789,0.0002519425,0.00003261385,0.00238939,0.9924837,0.0001345885,0.003228594,0.00001655285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790577,0.003580658,0.2957973,0.001211567,0.0005019528,0.0006077673,0.004057614,0.005821902,0.009363603],"genre_scores_gemma":[0.8202757,0.001378218,0.1674897,0.0006857401,0.00004691777,0.0003924415,0.002090209,0.00015213,0.007489011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001947079,"threshold_uncertainty_score":0.006513596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595280744611291,"score_gpt":0.2396717740722578,"score_spread":0.2137189666261449,"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."}}