{"id":"W4254283918","doi":"10.1515/iupac.79.1382","title":"Heat Shock Proteins","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001171396,0.002044152,0.001837511,0.004257675,0.0008696566,0.002406259,0.002581336,0.001702805,0.05284614],"category_scores_gemma":[0.006582914,0.0006204655,0.002024433,0.007228102,0.0003837179,0.001402572,0.001896045,0.001928457,0.06970786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350123,"about_ca_system_score_gemma":0.002670433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206237,"about_ca_topic_score_gemma":0.02275847,"domain_scores_codex":[0.9985793,0.0002248406,0.0002577412,0.0004788145,0.0003120118,0.0001474064],"domain_scores_gemma":[0.9981835,0.00055743,0.000274824,0.0004127325,0.0004023147,0.0001690965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003183343,0.00004200524,0.002656916,0.004356449,0.0001618055,0.00006904983,0.0000513356,0.0005268967,0.0005806613,0.0009927737,0.9806384,0.009605454],"study_design_scores_gemma":[0.0003009126,0.00003773236,0.008589235,0.0008126941,0.0001315019,0.0001399816,0.00006425755,0.0002824968,0.0005314034,0.001291801,0.9877781,0.00003986138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001893882,0.0003559566,0.00008180051,0.00005174433,0.00002294389,0.00001493201,0.9985422,0.000180576,0.0005605543],"genre_scores_gemma":[0.0003479969,0.0002036394,0.0002605184,0.00005737158,0.000005974061,0.00008072977,0.9985526,0.00003477145,0.000456264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05284614,"threshold_uncertainty_score":0.1767879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502659501400483,"score_gpt":0.4014418897036797,"score_spread":0.3864152946896749,"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."}}