{"id":"W810296939","doi":"10.1128/9781555817121.ch2","title":"Strengths and Shortcomings of Advanced Detection Technologies","year":2014,"lang":"en","type":"book-chapter","venue":"ASM Press eBooks","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Isolation (microbiology); Biochemical engineering; Identification (biology); Biology; Biotechnology; Computational biology; Microbiology; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003400004,0.0001996728,0.0002753329,0.000084854,0.00002422576,0.00001316705,0.00007313653,0.000390991,0.000003383972],"category_scores_gemma":[0.00002452867,0.0001915098,0.00006532291,0.00000356105,0.00009949751,0.00001737197,0.00004387493,0.0002894132,0.000001759736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561449,"about_ca_system_score_gemma":0.000001773209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007965633,"about_ca_topic_score_gemma":0.00001369264,"domain_scores_codex":[0.9994003,0.000002761525,0.0002105614,0.0001756174,0.00009398527,0.0001167891],"domain_scores_gemma":[0.9996123,0.0000699285,0.00005978403,0.0002051105,0.00002761064,0.00002524769],"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":[0.000008860198,9.888439e-7,1.797374e-7,0.000221123,0.00006955245,0.000001673697,0.00001867192,0.00007772524,0.01733198,0.02295361,0.00003781329,0.9592778],"study_design_scores_gemma":[0.0002770025,0.0001500115,0.000007879988,0.0003806504,0.0001614387,0.00001275406,0.00001554622,0.005521725,0.4389126,0.008730751,0.5452676,0.0005621021],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004098107,0.001241485,0.002400694,0.00000603729,0.0002914232,0.0002565439,0.00002495459,0.001035238,0.9906455],"genre_scores_gemma":[0.8945581,0.0005785727,0.0002333295,0.000003043515,0.00005011266,0.00001006873,0.000002035782,0.00006138659,0.1045034],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9587157,"threshold_uncertainty_score":0.7809541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007220437365601382,"score_gpt":0.1980065600034422,"score_spread":0.1907861226378408,"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."}}