{"id":"W2911029596","doi":"10.3390/s19020258","title":"Label-Free Capacitive Biosensor for Detection of Cryptosporidium","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Cryptosporidium; Biosensor; Detection limit; Cryptosporidium parvum; Monoclonal antibody; Chemistry; Materials science; Chromatography; Biology; Nanotechnology; Microbiology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009616696,0.00009629897,0.0001836374,0.00008614176,0.00006978038,0.000002980572,0.00006891252,0.0001681665,0.0001239059],"category_scores_gemma":[0.0003161151,0.00008963102,0.00007266368,0.0000902824,0.0001006443,0.00002584943,0.00001734095,0.00009474636,0.0004597778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297545,"about_ca_system_score_gemma":0.00002147811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008003187,"about_ca_topic_score_gemma":0.00001605947,"domain_scores_codex":[0.9994094,0.00004155417,0.0001711513,0.0001563921,0.00001846078,0.0002029814],"domain_scores_gemma":[0.9991279,0.0003729232,0.00008800693,0.0002474606,0.0001522409,0.00001148087],"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":[0.000132873,0.00009343794,0.001698467,0.00002801071,0.0000971894,6.987916e-7,0.0001837764,0.00004471541,0.990984,0.00524335,0.0006200704,0.0008734497],"study_design_scores_gemma":[0.001826775,0.0004227069,0.004986974,0.00001686383,0.00004507351,0.0000266379,0.0003263427,0.00003702777,0.9784963,0.000573019,0.01311499,0.0001273189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936705,0.0001071572,0.0003324079,0.00005263802,0.001476918,0.0003496291,0.0001884344,0.00004189433,0.003780384],"genre_scores_gemma":[0.9973122,0.00001345682,0.0002372626,0.00004100442,0.00003460178,0.00001284074,0.00002840719,0.00001156513,0.002308597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249492,"threshold_uncertainty_score":0.5909667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00963331743630928,"score_gpt":0.2369530833478591,"score_spread":0.2273197659115499,"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."}}