{"id":"W6892538826","doi":"10.5281/zenodo.1116431","title":"Hmgb1 Expression And Purification - 27Th November 2017","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Huntingtin; Function (biology); Expression (computer science); Gene expression; Cell culture","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":[0.0007925191,0.001042348,0.0009473207,0.001551145,0.0009648188,0.001824203,0.001150945,0.0006722946,0.05047334],"category_scores_gemma":[0.0005731526,0.000703448,0.001041381,0.000906548,0.0004644474,0.0008995694,0.001651675,0.001764268,0.09434751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140152,"about_ca_system_score_gemma":0.0017703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285046,"about_ca_topic_score_gemma":0.00690826,"domain_scores_codex":[0.9996069,0.00002879394,0.00004057469,0.00006869272,0.0001653239,0.00008986209],"domain_scores_gemma":[0.9996893,0.00002970432,0.00001540269,0.00007169943,0.0001036691,0.00009019991],"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":[0.002106452,0.0003875341,0.001715843,0.0006156389,0.00009718353,0.0007926523,0.0001459895,0.0006137439,0.5197006,0.007946388,0.3642791,0.1015989],"study_design_scores_gemma":[0.0001222865,0.0002019724,0.004473462,0.0001346155,0.00003921826,0.0003648298,0.00004174213,0.0009252775,0.275539,0.00277169,0.715332,0.00005374311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1094198,0.03992335,0.1130801,0.01421274,0.02361163,0.003554466,0.2116013,0.02328483,0.4613118],"genre_scores_gemma":[0.04553805,0.01090798,0.02253304,0.0009442216,0.0007678971,0.0007692227,0.2896744,0.003079453,0.6257856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05047334,"threshold_uncertainty_score":0.1688501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08344067878882244,"score_gpt":0.2909156126838793,"score_spread":0.2074749338950569,"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."}}