{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001963589,0.0001132694,0.0001176359,0.00007538849,0.0001072838,0.000004873942,0.0001025789,0.00008070432,0.0003513769],"category_scores_gemma":[0.0009589984,0.0001152134,0.0000420517,0.0001700298,0.00007328878,0.000001435771,0.0001287519,0.0001396702,0.00001286765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007651396,"about_ca_system_score_gemma":0.00002895766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002366245,"about_ca_topic_score_gemma":0.00004300466,"domain_scores_codex":[0.9989697,0.0001734655,0.0002056188,0.0002788395,0.0001682423,0.0002041725],"domain_scores_gemma":[0.9995027,0.0001031702,0.00006769033,0.0002242124,0.00003981236,0.00006242906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001868846,0.0003180927,0.02497613,0.00002188729,0.000038686,0.0001695433,0.0001558253,0.01368342,0.9457874,0.0001264886,0.007224349,0.007311236],"study_design_scores_gemma":[0.003143681,0.001893258,0.592168,0.00001742152,0.00009301129,0.0001850982,0.001143725,0.002745369,0.2438294,0.0007206509,0.1532711,0.000789283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978029,0.0005080031,0.0002331517,0.0003322017,0.0003282615,0.0002275512,0.00002281212,0.00001924559,0.0005259018],"genre_scores_gemma":[0.9988196,0.0001513416,0.0001278011,0.0003015123,0.0002254436,0.00004700831,0.0001359376,0.00001832092,0.0001729751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7019581,"threshold_uncertainty_score":0.4698267,"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."}}