{"id":"W2963552995","doi":"","title":"Biofunctionalization of silver with biotynilated BSA for SPRI biosensing","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biosensor; Nanotechnology; Materials science; Computer science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.002345944,0.0002653426,0.0003623529,0.0001729542,0.0002606106,0.0001614506,0.0006398513,0.0002404136,0.0002645199],"category_scores_gemma":[0.0003503054,0.000241781,0.0001461144,0.0002951997,0.0002745519,0.0001110661,0.0004330275,0.0001527597,0.00003353705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005951499,"about_ca_system_score_gemma":0.0002345694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006017958,"about_ca_topic_score_gemma":0.0004055584,"domain_scores_codex":[0.99733,0.0009280465,0.0005320841,0.0006730003,0.0002882482,0.0002486309],"domain_scores_gemma":[0.9945862,0.0006933983,0.0007731457,0.001419175,0.002433271,0.00009482231],"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":[0.00008773297,0.0008440858,0.0008067163,0.0004774258,0.00009952174,7.656976e-7,0.003983899,0.0001555356,0.8780004,0.1074664,0.001099168,0.006978265],"study_design_scores_gemma":[0.0003642568,8.07511e-7,0.0008552189,0.001049059,0.00008599658,0.000003752669,0.00004634342,0.002894003,0.9861476,0.002895606,0.005350264,0.0003070974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3848633,0.0003786238,0.5946568,0.002393723,0.00029142,0.001227314,0.0002605418,0.0002591455,0.01566909],"genre_scores_gemma":[0.8646538,0.00007574679,0.1324834,0.0000450081,0.00002549508,0.0001079342,0.0004053385,0.00004996219,0.002153287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4797905,"threshold_uncertainty_score":0.9859541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971265435960442,"score_gpt":0.219176383492369,"score_spread":0.1994637291327646,"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."}}