{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288401,0.000401105,0.0002535465,0.0004043492,0.0001903442,0.0003152256,0.0004487729,0.0005626759,0.0006972559],"category_scores_gemma":[0.0003567818,0.0001458551,0.0002023188,0.0002112598,0.0002518748,0.0003136347,0.0003788148,0.0004608769,0.0004856616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210843,"about_ca_system_score_gemma":0.0001338619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002267647,"about_ca_topic_score_gemma":0.0003441174,"domain_scores_codex":[0.9997073,0.00005049849,0.00001194921,0.00007334786,0.0001190633,0.00003792116],"domain_scores_gemma":[0.9998593,0.00004074798,0.00003116917,0.00001214132,0.00003660429,0.00001999558],"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":[0.000008013397,0.000006304459,0.00004531403,0.00001651404,0.000001335197,0.00001831001,0.000009918447,0.00001509517,0.9984165,0.00007720213,0.00004164742,0.001343818],"study_design_scores_gemma":[0.000002346196,0.00005325913,0.0003692005,0.000002704461,0.000003273924,0.0001041187,0.00001187071,0.0008201548,0.9971015,0.00005551594,0.001471477,0.000004544778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8198858,0.00860863,0.1641823,0.0006839206,0.0005774921,0.0001611154,0.0004635852,0.000656095,0.004781028],"genre_scores_gemma":[0.914462,0.00350309,0.07483646,0.00041652,0.00009418143,0.0001755744,0.0004443081,0.00004620036,0.006021605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006972559,"threshold_uncertainty_score":0.002332568,"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."}}