{"id":"W4408828170","doi":"10.70477/tcuo1966","title":"MULTIPLEXED COLORIMETRIC TEST ON A LENSLESS CMOS IMAGE SENSOR","year":2024,"lang":"en","type":"article","venue":"","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Multiplexing; Computer science; Image sensor; CMOS; Artificial intelligence; Computer vision; Electronic engineering; Engineering; Telecommunications","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":[0.0005079105,0.0007120014,0.0005825012,0.0006072564,0.0003674899,0.0009305559,0.001545648,0.0008867736,0.003049417],"category_scores_gemma":[0.0007889828,0.0004333585,0.0003116107,0.0005412411,0.0003462361,0.0007016945,0.0005601419,0.0005897057,0.001177082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009504379,"about_ca_system_score_gemma":0.0008006613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009258928,"about_ca_topic_score_gemma":0.002137535,"domain_scores_codex":[0.9988505,0.0001108082,0.00004645954,0.0003391176,0.0005267159,0.0001264743],"domain_scores_gemma":[0.9992369,0.0002094144,0.0001053903,0.00006946096,0.0002850309,0.00009375044],"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":[0.0001380439,0.00004816709,0.0003587408,0.00005593991,0.000009606189,0.00006900835,0.00004040953,0.00008815888,0.9909382,0.0004274949,0.0003254221,0.007500755],"study_design_scores_gemma":[0.000015256,0.0001604097,0.0009437241,0.000004003129,0.00001558208,0.0001726527,0.00002265221,0.003044486,0.9943286,0.00008275409,0.001196829,0.00001310227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6720933,0.001681296,0.3061889,0.0009049796,0.0009672905,0.0005433662,0.001065606,0.004530797,0.01202457],"genre_scores_gemma":[0.8341774,0.0006076706,0.1500664,0.0007537162,0.0001692089,0.0002605441,0.0003972186,0.0001310785,0.01343665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003049417,"threshold_uncertainty_score":0.01020128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160188911326862,"score_gpt":0.337257302444819,"score_spread":0.3256554133315503,"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."}}