{"id":"W4393718238","doi":"10.5281/zenodo.758200","title":"Purification Of Full-Length Huntingtin Q46 And Grafix 2017/02/06","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Huntingtin; Chemistry; Biology; Genetics; Gene","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":[0.0006791696,0.0002057307,0.0002412505,0.0002134177,0.0008895691,0.0004193668,0.00129946,0.0002386724,0.0008821446],"category_scores_gemma":[0.0009909082,0.0002249452,0.00008714054,0.0001142194,0.0002906216,0.00001694151,0.001623285,0.0002557387,0.0006949974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002521799,"about_ca_system_score_gemma":0.000006921181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004045748,"about_ca_topic_score_gemma":0.000003653786,"domain_scores_codex":[0.9983869,0.0002206587,0.0003147238,0.0005810365,0.0002569885,0.0002396569],"domain_scores_gemma":[0.9974872,0.000007168969,0.0004609822,0.001387261,0.000557701,0.00009964961],"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":[0.00002916481,0.00007326245,0.000001157577,0.0001088047,0.00007580778,0.00000327433,0.00001725718,5.942688e-7,0.08079187,0.0000107478,0.911656,0.007232108],"study_design_scores_gemma":[0.0001918764,0.0002209903,0.00009459281,0.00003581917,0.00007534809,0.00005449175,0.00002324774,0.00001081006,0.01068208,0.00001506773,0.9883858,0.0002098884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00809669,0.001366167,0.001630649,0.0003440528,0.00007664256,0.001206685,0.966898,0.0003203638,0.02006072],"genre_scores_gemma":[0.007845059,0.002170794,0.0002677199,0.00003748536,0.0001883163,1.020968e-7,0.9881498,0.0005126754,0.0008280498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07672983,"threshold_uncertainty_score":0.9658865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207545373755575,"score_gpt":0.2771614144960256,"score_spread":0.2564068771204681,"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."}}