{"id":"W4298213500","doi":"","title":"Resonant biosensor characterization: Temperature, pH and salt concentration dependence","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Biosensor; Characterization (materials science); Salt (chemistry); Temperature measurement; Materials science; Chemistry; Chemical engineering; Nanotechnology; Thermodynamics; Physics; Physical chemistry; Engineering","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":[0.0007312319,0.0005945125,0.000925873,0.0002771407,0.0002909742,0.0006546139,0.0009834855,0.0009139486,0.002958907],"category_scores_gemma":[0.001799611,0.0003834892,0.0004482265,0.0003683555,0.0004802764,0.0006815825,0.0005112275,0.0007798344,0.002449917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005548003,"about_ca_system_score_gemma":0.0003906072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018689,"about_ca_topic_score_gemma":0.001556072,"domain_scores_codex":[0.998859,0.0000666402,0.00007829105,0.0003514526,0.0005542835,0.00009017898],"domain_scores_gemma":[0.9991799,0.0002456949,0.00009747407,0.000138227,0.0003004217,0.00003833706],"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":[0.00005769837,0.00001345174,0.00008530585,0.00004311061,0.000005313292,0.00001522543,0.00003150282,0.00005561667,0.9977843,0.00003032961,0.00007569286,0.001802516],"study_design_scores_gemma":[0.000002348839,0.00005493289,0.0005550904,0.000002079915,0.000009089823,0.00009724277,0.00001433977,0.0006511978,0.9980521,0.00003087145,0.0005234085,0.000007398732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727642,0.004096913,0.1127228,0.0009862252,0.0002964268,0.0002019888,0.001318181,0.002182365,0.005430867],"genre_scores_gemma":[0.9479931,0.002302805,0.03409443,0.0003939809,0.00005760713,0.0001441783,0.001249309,0.0006097168,0.01315493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002958907,"threshold_uncertainty_score":0.009898484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367042358181446,"score_gpt":0.2272841700953304,"score_spread":0.2136137465135159,"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."}}