{"id":"W2908279007","doi":"10.1364/boe.10.000399","title":"Development of a low-cost and portable smart fluorometer for detecting breast cancer cells","year":2019,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluorometer; Breast cancer; Computer science; Cancer; Biomedical engineering; Medicine; Fluorescence; Optics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000970262,0.0000955577,0.0001241288,0.00002654954,0.00004693811,0.000008753882,0.0000935376,0.0001146372,0.000008374984],"category_scores_gemma":[0.00001066568,0.00008410503,0.00003383582,0.00005314084,0.00007098276,0.000002658737,0.0001038056,0.0000405007,9.613929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009245511,"about_ca_system_score_gemma":0.00005504701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003883756,"about_ca_topic_score_gemma":0.000002470239,"domain_scores_codex":[0.9992895,0.000004877959,0.0002028471,0.0002353098,0.00008909135,0.0001783691],"domain_scores_gemma":[0.9995595,0.00001440113,0.00008414179,0.0001843897,0.00007376569,0.00008378777],"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":[0.00002646719,0.00004480039,0.00007701095,0.00006900821,0.00001697578,1.434536e-7,0.00002146939,0.000002302152,0.9852266,0.00002386024,0.0002163371,0.01427501],"study_design_scores_gemma":[0.0003143521,0.00004219022,0.0001939139,0.00005844306,0.000008732776,0.000004894047,0.00003029105,0.0003638992,0.9465727,0.00002262845,0.0522568,0.0001312043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063519,0.00007237263,0.09270398,0.00008849397,0.00009202751,0.0004789052,0.0001427273,0.00001635,0.00005327595],"genre_scores_gemma":[0.7437267,0.00005185336,0.2557505,0.00007946401,0.00006639046,0.00008507574,0.00006343755,0.00001723388,0.0001592492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630466,"threshold_uncertainty_score":0.3429703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018151555939848,"score_gpt":0.2709323403012021,"score_spread":0.2607508247418036,"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."}}