{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002069244,0.003501229,0.002509597,0.003660104,0.001023362,0.003289566,0.003395073,0.00248706,0.03209653],"category_scores_gemma":[0.004102662,0.0009026449,0.001897775,0.005046295,0.0005734004,0.001247321,0.002208461,0.002209362,0.0502408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475585,"about_ca_system_score_gemma":0.003223296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261187,"about_ca_topic_score_gemma":0.0235381,"domain_scores_codex":[0.99893,0.0001598074,0.0001418807,0.000347666,0.0002492434,0.0001714118],"domain_scores_gemma":[0.9987073,0.0003594109,0.0001643518,0.0003280654,0.0002212791,0.00021956],"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":[0.0004365153,0.00007143298,0.002190697,0.002130039,0.00020811,0.00009167541,0.00004763665,0.0006782936,0.001251923,0.0006709897,0.9883668,0.00385586],"study_design_scores_gemma":[0.001691131,0.0001120041,0.01224416,0.0008306938,0.0003163262,0.0003319679,0.0001392563,0.001634819,0.003575555,0.003015902,0.9760194,0.00008875017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006280293,0.0002678228,0.0001241801,0.00006684431,0.00003169092,0.00001183928,0.9977858,0.0006721597,0.0004116343],"genre_scores_gemma":[0.0003812538,0.0000765074,0.0001866244,0.00002667341,0.000002681098,0.00002540732,0.9990256,0.00007335981,0.000201827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03209653,"threshold_uncertainty_score":0.1073736,"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."}}