{"id":"W4200633797","doi":"","title":"Plasmonic biochip for “SPRI, SERS and bio-imaging” in vitro monitoring of bio, molecular to cellular, surface interactions","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Biochip; Nanotechnology; Plasmon; In vitro; Materials science; Computer science; Chemistry; Cell biology; Biology; Optoelectronics; Biochemistry","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":[0.0007979753,0.0002271056,0.000238381,0.0001223726,0.00008326674,0.00006387461,0.0004277677,0.0001677102,0.00000164856],"category_scores_gemma":[0.0002376037,0.0002632027,0.0001229033,0.0001672873,0.0001037026,0.000006884504,0.0007806393,0.0002125064,0.000002109263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004487643,"about_ca_system_score_gemma":0.0001026211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210176,"about_ca_topic_score_gemma":0.00006813675,"domain_scores_codex":[0.9983326,0.0003535695,0.0003418722,0.0006360092,0.0001081825,0.0002278232],"domain_scores_gemma":[0.9977475,0.0001465875,0.0002584184,0.001154406,0.0006041414,0.00008897477],"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":[0.00002727312,0.000106102,0.001533464,0.00007152445,0.00001946734,3.833752e-7,0.0001770208,0.0002927403,0.9932935,0.0006191282,0.00009250039,0.003766897],"study_design_scores_gemma":[0.0002303288,0.000001019776,0.0004497789,0.0004401758,0.00001890741,0.000002277237,0.00006371326,0.002601678,0.9901366,0.0004978022,0.005315165,0.0002425923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748163,0.0006872556,0.2476375,0.002163501,0.000108564,0.0006529415,0.00009700542,0.00003579693,0.000454382],"genre_scores_gemma":[0.829958,0.0002428701,0.1688058,0.00003477229,0.00001119931,0.00005534865,0.0003597876,0.00003487862,0.0004973173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08179504,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025273876212228,"score_gpt":0.2593814654860119,"score_spread":0.2491287267238896,"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."}}