{"id":"W4288323969","doi":"","title":"Antimicrobial peptide based digital photocorrosion biosensor for detecting Legionella pneumophila","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Legionella pneumophila; Biosensor; Legionella; Antimicrobial; Materials science; Microbiology; Nanotechnology; Chemistry; Biology; Bacteria","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":[0.0001318393,0.000248379,0.000178829,0.0001387061,0.0001019221,0.0002854485,0.0002583158,0.0005001082,0.001301397],"category_scores_gemma":[0.0001405255,0.00009644227,0.0001157135,0.0001177235,0.0001574094,0.0002621831,0.0002389551,0.0002875137,0.0003372322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658062,"about_ca_system_score_gemma":0.00007988709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001892477,"about_ca_topic_score_gemma":0.0003216796,"domain_scores_codex":[0.9998586,0.0000177372,0.000005905798,0.00004442319,0.00005167063,0.00002156713],"domain_scores_gemma":[0.9999435,0.00001657013,0.00001152913,0.000005070857,0.00001606012,0.000007258051],"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":[0.00003692608,0.000008289369,0.00005168248,0.00003000707,0.00000135835,0.00002022321,0.000005456605,0.00003513143,0.9980718,0.00002738581,0.00004087196,0.001670856],"study_design_scores_gemma":[0.000004765378,0.0001137361,0.0004778822,0.000001949465,0.000004009951,0.00007538349,0.000008525722,0.0007745291,0.9978809,0.00001201742,0.0006434384,0.000002803332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747444,0.002850232,0.01764346,0.0002457713,0.0001253918,0.00004966518,0.000262309,0.0002082274,0.003870591],"genre_scores_gemma":[0.9749253,0.0008965681,0.01757201,0.000145689,0.00002114271,0.00003248388,0.000162527,0.00001236433,0.006231956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301397,"threshold_uncertainty_score":0.004353642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384233428681161,"score_gpt":0.2238889550314583,"score_spread":0.2100466207446467,"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."}}