{"id":"W2328076515","doi":"10.1364/isa.2012.itu4c.5","title":"Quantum Dot Image Sensors","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum dot; Optoelectronics; Semiconductor; Quantum dot laser; Materials science; Quantum; Nanotechnology; Colloid; Quantum sensor; Physics; Quantum computer; Chemistry; Quantum mechanics; Quantum network; Semiconductor laser theory","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":[0.0002152503,0.0003806251,0.0004586803,0.0004881314,0.0003411509,0.001079183,0.0009076016,0.001208242,0.00803209],"category_scores_gemma":[0.0005491907,0.000294071,0.0002060699,0.0004066227,0.0002878834,0.001060286,0.0005060838,0.0005651806,0.004899564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020034,"about_ca_system_score_gemma":0.0002031246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005585941,"about_ca_topic_score_gemma":0.001187789,"domain_scores_codex":[0.9993172,0.00004062929,0.0000210892,0.0002177034,0.0003346464,0.00006878594],"domain_scores_gemma":[0.9997379,0.00004533166,0.00003117311,0.00002681566,0.0001337839,0.00002481699],"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":[0.0001544055,0.00008139206,0.0004962671,0.0002700546,0.00002381073,0.00017373,0.00006321735,0.0003646049,0.9052188,0.004933045,0.01245134,0.07576916],"study_design_scores_gemma":[0.00001899631,0.00009847495,0.0008091338,0.00001601404,0.00002208643,0.000381566,0.0000375653,0.00733419,0.9485683,0.0005253768,0.04216666,0.00002169451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3338627,0.02650108,0.4087248,0.004855523,0.002754557,0.0009553924,0.007407564,0.01024847,0.20469],"genre_scores_gemma":[0.6955372,0.005874032,0.1420719,0.002613436,0.0003161517,0.0003725703,0.002906703,0.0002920718,0.1500159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00803209,"threshold_uncertainty_score":0.02687001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855761019756242,"score_gpt":0.284341224294955,"score_spread":0.2657836140973926,"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."}}