{"id":"W4288097400","doi":"10.1039/d2sd00090c","title":"Sensor detection in gynaecological medicine","year":2022,"lang":"en","type":"article","venue":"Sensors & Diagnostics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Medicine; Identification (biology); Gynecology; Medical physics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261048,0.000523613,0.0006786993,0.00173129,0.000557156,0.001892074,0.0008281944,0.003074871,0.007539513],"category_scores_gemma":[0.003001619,0.0003379301,0.0005415638,0.001546868,0.001392938,0.001418477,0.001088885,0.002348183,0.004523385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718634,"about_ca_system_score_gemma":0.001395227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012889,"about_ca_topic_score_gemma":0.002188751,"domain_scores_codex":[0.9992024,0.0002366227,0.00004684113,0.0001279217,0.0003012054,0.00008497864],"domain_scores_gemma":[0.9989042,0.0004917636,0.000113184,0.00006292928,0.0003031613,0.0001247477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002661317,0.0001139906,0.005469939,0.003591075,0.00007266235,0.001403526,0.0004916521,0.001068378,0.02182788,0.06755409,0.07771701,0.8204237],"study_design_scores_gemma":[0.00002921318,0.000266163,0.005117405,0.00205878,0.00006060522,0.004368718,0.0006243626,0.001596343,0.01152644,0.04429022,0.9299704,0.00009134835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00714447,0.8551791,0.02243549,0.04444891,0.007538397,0.00007290678,0.0003716397,0.0004902736,0.06231881],"genre_scores_gemma":[0.1603487,0.743147,0.03474564,0.02247805,0.007007002,0.0001278283,0.0003690501,0.0001544386,0.03162222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007539513,"threshold_uncertainty_score":0.02522218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009472791231452473,"score_gpt":0.2448189481067866,"score_spread":0.2353461568753342,"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."}}