{"id":"W2738771075","doi":"","title":"Towards a Mechanistic Understanding of the Molecular Chaperone Hsp104","year":2011,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Computational biology; Chaperone (clinical); Data science; Biology; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004342253,0.0007547091,0.0006025606,0.0003827189,0.0005822786,0.001585679,0.001601837,0.001592573,0.002229684],"category_scores_gemma":[0.0002430914,0.0005367454,0.0004705294,0.0002846669,0.00148461,0.002622379,0.000734771,0.003798977,0.001137347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015714,"about_ca_system_score_gemma":0.00091216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005674406,"about_ca_topic_score_gemma":0.0005346768,"domain_scores_codex":[0.9998794,0.00001616112,0.00000646799,0.00001932431,0.00005242218,0.00002624615],"domain_scores_gemma":[0.9999228,0.00001806868,0.0000131641,0.00001236556,0.00002019097,0.00001352796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000220318,0.0004397689,0.0005770268,0.00276426,0.00008310937,0.0009492991,0.0006347086,0.02029538,0.3147202,0.580476,0.01216172,0.06667832],"study_design_scores_gemma":[0.00007946658,0.0004999845,0.001973778,0.0005683135,0.00007340778,0.0009815954,0.0008911986,0.03634567,0.1158881,0.488138,0.3544686,0.00009182268],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1731498,0.4344296,0.2438846,0.06215877,0.004599733,0.000400109,0.0007026157,0.002053249,0.07862144],"genre_scores_gemma":[0.5630999,0.3290536,0.05911216,0.009365524,0.002287369,0.0006337378,0.0007599517,0.0001571443,0.03553063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002229684,"threshold_uncertainty_score":0.01140136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759367278557474,"score_gpt":0.2707303641619359,"score_spread":0.2431366913763612,"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."}}