{"id":"W3011724669","doi":"10.1117/12.2550457","title":"Direct on-sensor imaging for shadow-based microparticle characterization and bioluminescence imaging (Conference Presentation)","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Shadow (psychology); Bioluminescence imaging; Image sensor; Lens (geology); Bioluminescence; Image resolution; Optics; Field of view; Optical imaging; Physics; Luciferase; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003007213,0.0007353555,0.0003801617,0.000335152,0.0002461782,0.0006779992,0.0009959139,0.0006248218,0.006518696],"category_scores_gemma":[0.0002906922,0.00042347,0.0003370651,0.0001935209,0.0003187964,0.0005397018,0.0007055172,0.0006774295,0.002239769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227641,"about_ca_system_score_gemma":0.0003228084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003505154,"about_ca_topic_score_gemma":0.001075581,"domain_scores_codex":[0.9996156,0.000030766,0.00001332547,0.00008003339,0.0002243573,0.00003594386],"domain_scores_gemma":[0.9998145,0.00004660689,0.00002300606,0.00002360807,0.00006455636,0.0000277977],"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":[0.00004750485,0.00003067317,0.00006924306,0.0001520631,0.000009374802,0.00004680638,0.00001840905,0.00008599057,0.9870102,0.000440112,0.0007635643,0.011326],"study_design_scores_gemma":[0.00001311553,0.0001627683,0.0005647847,0.000006760516,0.0000133769,0.0002428333,0.00001398098,0.003487333,0.9823244,0.000188602,0.01296455,0.00001758882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2861311,0.01115943,0.6700398,0.0008001475,0.002187977,0.001335145,0.00132983,0.003027117,0.02398948],"genre_scores_gemma":[0.422157,0.005006153,0.5217062,0.0007661693,0.0004301777,0.000531383,0.001423648,0.0004964701,0.04748279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006518696,"threshold_uncertainty_score":0.02180719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910870770658616,"score_gpt":0.2762377991276794,"score_spread":0.2571290914210932,"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."}}