{"id":"W4254822352","doi":"10.1109/iembs.2006.4397536","title":"Quantum dot-FRET systems for imaging of neuronal action potentials","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Förster resonance energy transfer; Quantum dot; Context (archaeology); Nanotechnology; Fluorescence; Membrane; Noise (video); Materials science; Optoelectronics; Chemistry; Computer science; Physics; Optics; Artificial intelligence","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":[0.0007963041,0.0003602252,0.0005570042,0.0002813562,0.0003407811,0.000552437,0.0006507703,0.0008792949,0.002328825],"category_scores_gemma":[0.0005657268,0.0002729693,0.0002362622,0.0003431359,0.0003138875,0.0007514886,0.0004422179,0.0009921872,0.001264645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810645,"about_ca_system_score_gemma":0.0002337566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682786,"about_ca_topic_score_gemma":0.0007759028,"domain_scores_codex":[0.9995605,0.0001081578,0.00002178256,0.00008652339,0.0001866607,0.00003628602],"domain_scores_gemma":[0.999878,0.00005252921,0.0000111231,0.00001581884,0.00002839966,0.0000141465],"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":[0.0001087171,0.00007788905,0.0001424191,0.000230283,0.00002111665,0.0001499502,0.0000745123,0.001619308,0.940104,0.01412441,0.001778475,0.04156899],"study_design_scores_gemma":[0.00002749226,0.000192568,0.0002583518,0.00002888797,0.00002618139,0.0006165097,0.00002704921,0.01673848,0.9448563,0.0026437,0.03455346,0.00003107285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608584,0.03164569,0.7808492,0.001612425,0.0006675925,0.0004329373,0.0006738722,0.003389523,0.01987045],"genre_scores_gemma":[0.4987849,0.01400844,0.4616892,0.0007739053,0.0001008833,0.0005179895,0.0007728649,0.0002243069,0.02312758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002328825,"threshold_uncertainty_score":0.007790685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814523569333472,"score_gpt":0.2880775192956508,"score_spread":0.2399322836023161,"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."}}