{"id":"W4289782781","doi":"","title":"Quantum Semiconductor Photonic Biosensing Platform for Detection of Legionella Pneumophila in Industrial Water","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Biosensors and Analytical Detection","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; Photonics; Biosensor; Legionella; Semiconductor; Optoelectronics; Nanotechnology; Materials science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003838322,0.0004784129,0.000717563,0.0003630449,0.0003670573,0.0002813542,0.0006475398,0.000999628,0.00002308461],"category_scores_gemma":[0.0009306889,0.000480088,0.0004214999,0.0002146467,0.0003252183,0.0002465204,0.0004079713,0.001098662,0.00002769544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917365,"about_ca_system_score_gemma":0.0001243881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003563707,"about_ca_topic_score_gemma":0.002983284,"domain_scores_codex":[0.9965157,0.0008250239,0.0009962773,0.0007461551,0.0003045587,0.0006122908],"domain_scores_gemma":[0.9960575,0.0007575065,0.0004803596,0.001503174,0.001025901,0.0001755233],"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":[0.00006304878,0.0002463605,0.0001737843,0.0004486429,0.0001203056,0.000003885129,0.002491116,0.0008816773,0.9408534,0.01018984,0.00004460887,0.04448333],"study_design_scores_gemma":[0.000953935,0.0000017115,0.000380757,0.002166624,0.00008040456,0.00001419361,0.00008772661,0.1657178,0.8188161,0.004530346,0.006816406,0.0004340644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646378,0.0004582873,0.02679417,0.003006054,0.001605972,0.0008379333,0.00009291315,0.0001249203,0.002442021],"genre_scores_gemma":[0.994029,0.0005870354,0.002679235,0.000009228602,0.0001297486,0.00003891158,0.0001794654,0.00008590743,0.002261506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648361,"threshold_uncertainty_score":0.9997651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335080069273999,"score_gpt":0.2300049112893643,"score_spread":0.1964969043619644,"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."}}