{"id":"W4313391285","doi":"","title":"Digital Photocorrosion GaAs/AlGaAs Biosensor for Legionella pneumophila","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Legionella pneumophila; Biosensor; Optoelectronics; Legionella; Materials science; Gallium arsenide; Legionnaires' disease; Nanotechnology; 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":[0.0001378305,0.000162412,0.000134906,0.0001768363,0.000172552,0.0004683674,0.0003022855,0.0005739902,0.003615792],"category_scores_gemma":[0.0001975072,0.0001196984,0.0001184161,0.0001863185,0.0001877185,0.0003224061,0.0002349263,0.0002741625,0.0005660569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004875359,"about_ca_system_score_gemma":0.0001530554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159994,"about_ca_topic_score_gemma":0.002163406,"domain_scores_codex":[0.9998531,0.00001213154,0.000006468764,0.0000443424,0.00006483392,0.00001912469],"domain_scores_gemma":[0.9999077,0.00002891782,0.00001276498,0.00001375886,0.00002861168,0.000008275823],"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":[0.00006028432,0.00001196115,0.0001623291,0.00003852358,0.00000310883,0.00004401486,0.0000205355,0.00009343851,0.9959787,0.00007994842,0.000229241,0.003277813],"study_design_scores_gemma":[0.00000730524,0.0001222955,0.002867985,0.000005174908,0.000009348214,0.000106213,0.00006091349,0.002469347,0.9920107,0.00005696105,0.002277398,0.000006362526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776257,0.002082019,0.009872623,0.0007818781,0.0002381111,0.00003508366,0.0004431374,0.0006497833,0.00827186],"genre_scores_gemma":[0.9795974,0.0007176814,0.00683965,0.0002228993,0.00002880332,0.00001704331,0.0001211437,0.00002629955,0.01242892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003615792,"threshold_uncertainty_score":0.01209605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163975683265813,"score_gpt":0.200191713637134,"score_spread":0.1885519568044759,"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."}}