{"id":"W2617612337","doi":"10.15353/vsnl.v2i1.112","title":"Compact, Field-Portable Smartphone Chiral Molecule Concentration Estimation System via Multi-sensor Computational Polarimetry","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Vision and Imaging Systems","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Polarimetry; Polarizer; Computer science; Computational complexity theory; Optics; Physics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004017256,0.0006683892,0.0007406218,0.0005178037,0.0002589849,0.0005991757,0.001162834,0.0006783805,0.003244837],"category_scores_gemma":[0.0006440909,0.0003597262,0.0002992983,0.0002780511,0.0002566394,0.00104969,0.0009310051,0.0005439389,0.00142014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811631,"about_ca_system_score_gemma":0.0003840668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000702324,"about_ca_topic_score_gemma":0.001021385,"domain_scores_codex":[0.9995455,0.00005076267,0.00002242371,0.0001058138,0.0002465415,0.00002896764],"domain_scores_gemma":[0.9996114,0.00007912418,0.0000539894,0.00006514553,0.0001579367,0.00003249849],"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":[0.0004206467,0.0001641488,0.002532715,0.000544009,0.00004756368,0.0004450614,0.0001719297,0.004454293,0.8071898,0.002252463,0.004940893,0.1768366],"study_design_scores_gemma":[0.0001033823,0.0007073772,0.004353038,0.00005572114,0.00008698385,0.001798724,0.0001180115,0.273779,0.6916077,0.001058747,0.02613061,0.0002006373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1273651,0.001570943,0.857076,0.0006363537,0.0003779598,0.0004667155,0.0006412278,0.006124323,0.005741408],"genre_scores_gemma":[0.5253981,0.001027262,0.4644846,0.0005282424,0.0001653766,0.0003827365,0.0006390606,0.0001449753,0.007229709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003244837,"threshold_uncertainty_score":0.01085508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005832929198390765,"score_gpt":0.2350385209783266,"score_spread":0.2292055917799358,"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."}}