{"id":"W2083309264","doi":"10.1063/1.2963104","title":"Bioresistive identification of heat shock protein 90","year":2008,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Concordia University","funders":"","keywords":"Hsp90; Heat shock protein; Adenosine triphosphate; Biosensor; Biophysics; Chaperone (clinical); Hsp70; Chemistry; Shock (circulatory); Microfluidics; Cell biology; Biochemistry; Biology; Nanotechnology; Materials science","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":[0.0002643842,0.0001348253,0.0001500121,0.00009644152,0.0001188984,0.000009549246,0.0002719962,0.0001888672,0.00001910478],"category_scores_gemma":[0.000182361,0.0001337485,0.0000914354,0.000197983,0.0002736317,0.000004178359,0.0001462261,0.00007570266,0.00005386458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003376157,"about_ca_system_score_gemma":0.0002611039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008888157,"about_ca_topic_score_gemma":0.000002895131,"domain_scores_codex":[0.9987384,0.00008901919,0.0003519334,0.0003449743,0.0002184758,0.0002571773],"domain_scores_gemma":[0.999118,0.000006665771,0.00005496409,0.0005084416,0.0002202191,0.0000916896],"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":[0.0001028767,0.00008787149,0.001202533,0.00003246907,0.00003023889,0.000004773623,0.00003072765,7.273583e-7,0.9937478,0.00005146956,0.004214727,0.0004938081],"study_design_scores_gemma":[0.0003400446,0.0001731678,0.003122527,0.0000121342,0.000004569633,0.00001786971,0.00001872845,0.00001525719,0.9756222,0.00001554547,0.02052255,0.0001353646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931515,0.002261905,0.003450257,0.0001395992,0.0000535955,0.0005582616,0.00007291041,0.00001446738,0.0002975389],"genre_scores_gemma":[0.9969904,0.0006667574,0.000417727,0.00002942719,0.0001146717,0.00005871768,0.0001168413,0.00002675106,0.001578735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812553,"threshold_uncertainty_score":0.5454106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061161237190522,"score_gpt":0.2765857132363405,"score_spread":0.2559741008644353,"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."}}