{"id":"W4393611019","doi":"10.5281/zenodo.3251043","title":"ROS-Specific Huntingtin Interactions: Optimization of Poly ADP Ribose Detection by Immunofluorescence","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Calcium signaling and nucleotide metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Huntingtin; Immunofluorescence; Ribose; Chemistry; Cell biology; Indirect immunofluorescence; Biochemistry; Biology; Genetics; Antibody; Gene; Enzyme","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":[0.002002147,0.002994327,0.002351126,0.003443462,0.000949151,0.002787488,0.003083004,0.002454595,0.02459153],"category_scores_gemma":[0.005861406,0.0007477906,0.001831296,0.004334886,0.0004066142,0.001006615,0.001986009,0.001815337,0.03288475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242058,"about_ca_system_score_gemma":0.002076932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006369791,"about_ca_topic_score_gemma":0.01660506,"domain_scores_codex":[0.9983309,0.0003150921,0.0001837362,0.0006427424,0.0003411145,0.0001864123],"domain_scores_gemma":[0.9983004,0.0007477782,0.0001864416,0.000384277,0.00021611,0.0001650431],"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":[0.0008974247,0.0001567037,0.005863874,0.008232971,0.0006618836,0.0002098438,0.000123766,0.003419872,0.006042993,0.001778022,0.9568643,0.01574833],"study_design_scores_gemma":[0.001146897,0.0001206359,0.01144676,0.0007476226,0.0004534682,0.000280676,0.00008769102,0.002905027,0.006530402,0.003822319,0.97237,0.00008835848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001185167,0.0006413701,0.0004865071,0.00008045964,0.00003617667,0.00003259282,0.9948232,0.001744256,0.0009702653],"genre_scores_gemma":[0.001261858,0.0001768864,0.001149226,0.00005926352,0.000004270275,0.0001668605,0.9965558,0.0002057624,0.0004200763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02459153,"threshold_uncertainty_score":0.08226687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919366108483367,"score_gpt":0.2476052215296375,"score_spread":0.2284115604448039,"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."}}