{"id":"W4393616948","doi":"10.5281/zenodo.162919","title":"Screening Conditions For Electron Microscopy Of Full-Length Huntingtin Protein Samples","year":2016,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Huntingtin; Electron microscope; Microscopy; Materials science; Biology; Chemistry; Physics; Biophysics; Nanotechnology; Optics; Genetics","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":[0.001893612,0.003335783,0.001988797,0.00389958,0.0008684567,0.001911572,0.002951386,0.002947903,0.02202867],"category_scores_gemma":[0.005553381,0.0007832245,0.002100074,0.003902891,0.0004895635,0.0009964016,0.001941005,0.001318709,0.02515765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260205,"about_ca_system_score_gemma":0.002074894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008548913,"about_ca_topic_score_gemma":0.02149671,"domain_scores_codex":[0.9987195,0.000187563,0.0001600692,0.0004504643,0.0003116707,0.0001707919],"domain_scores_gemma":[0.9982725,0.0005954352,0.000196713,0.000493649,0.0002817507,0.000159814],"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":[0.001047747,0.0002326272,0.006574333,0.006613081,0.0004483168,0.0003137897,0.0000793312,0.002748162,0.004998728,0.001058499,0.9596314,0.01625421],"study_design_scores_gemma":[0.001956614,0.0001817893,0.0261318,0.001115063,0.0006090123,0.0007168456,0.0001511523,0.004729017,0.0123299,0.004573988,0.9473584,0.0001465292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002542899,0.0006115045,0.0004899552,0.00007274163,0.00003128232,0.00005372483,0.9936273,0.001713386,0.0008573545],"genre_scores_gemma":[0.00167784,0.0001387915,0.0008544964,0.00003972288,0.000003534231,0.00009109687,0.9967628,0.0001130004,0.0003187745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02202867,"threshold_uncertainty_score":0.07369328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863539141928784,"score_gpt":0.3206007117975017,"score_spread":0.3019653203782139,"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."}}