{"id":"W420696359","doi":"10.1016/j.colsurfb.2015.05.028","title":"Qualitative and quantitative detection of T7 bacteriophages using paper based sandwich ELISA","year":2015,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bacteriophage; Virology; Biosafety; Virus; Microbiology; Computational biology; Biology; Biotechnology; Escherichia coli","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":[0.001028016,0.001074525,0.000476483,0.000880866,0.0002805673,0.0007956079,0.0007907588,0.0008260998,0.00128034],"category_scores_gemma":[0.001111813,0.0005219725,0.0005042033,0.0005483619,0.0004212202,0.0005120658,0.000494744,0.0006933276,0.0007202705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760173,"about_ca_system_score_gemma":0.0002999896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005857922,"about_ca_topic_score_gemma":0.0007374679,"domain_scores_codex":[0.9985805,0.0003690569,0.000155141,0.0002538598,0.0004874637,0.0001540505],"domain_scores_gemma":[0.9991688,0.0003444885,0.00008830187,0.00007984525,0.0002592353,0.0000594874],"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":[0.00006838174,0.00002452288,0.0001611954,0.00004900291,0.000006871628,0.00001243983,0.0000213684,0.00003806169,0.9978926,0.00003690181,0.00001851087,0.001670236],"study_design_scores_gemma":[0.000007584141,0.0002313112,0.0009214772,0.000008498527,0.0000196009,0.00007936179,0.00003248282,0.001220323,0.9969373,0.00005855394,0.0004720346,0.00001146653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8264258,0.004610195,0.1621796,0.0001709519,0.0002922153,0.0002955506,0.0009147615,0.0008681121,0.004242761],"genre_scores_gemma":[0.8124876,0.003231986,0.1738804,0.0002347182,0.0001124543,0.0005023784,0.001414865,0.00009213197,0.0080434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128034,"threshold_uncertainty_score":0.005436718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903539317918684,"score_gpt":0.3038978783522779,"score_spread":0.2548624851730911,"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."}}