{"id":"W4287258295","doi":"10.5281/zenodo.4724176","title":"Antibody Characterization Report for Plectin","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cutaneous lymphoproliferative disorders research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Plectin; Antibody; Computational biology; Characterization (materials science); Medicine; Biology; Immunology; Materials science; Genetics; Nanotechnology; Intermediate filament","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":[0.0005313091,0.001676843,0.0005275956,0.001963116,0.000917216,0.0007527245,0.001185352,0.000723263,0.02538877],"category_scores_gemma":[0.001191172,0.0006102456,0.001025375,0.001648305,0.0003087172,0.0008907868,0.000549563,0.001444325,0.0198419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762977,"about_ca_system_score_gemma":0.0007601561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158509,"about_ca_topic_score_gemma":0.00129101,"domain_scores_codex":[0.9993801,0.00008093332,0.00009412223,0.0001858766,0.0001475338,0.0001114906],"domain_scores_gemma":[0.9990441,0.0002174536,0.000120819,0.0001917514,0.0003115334,0.0001143963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002409999,0.00008444754,0.0002968177,0.0004510908,0.00002808409,0.000360421,0.00004159181,0.00009148275,0.9829122,0.000599451,0.00568734,0.009206047],"study_design_scores_gemma":[0.00007678883,0.0005702596,0.009094621,0.0001363797,0.0001627495,0.005148907,0.0000825925,0.0008869295,0.6563683,0.0005065642,0.3269195,0.00004643653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2791598,0.04142637,0.5062588,0.004019521,0.003819791,0.00401685,0.07822429,0.005771514,0.07730318],"genre_scores_gemma":[0.2274842,0.03752544,0.1961152,0.002484623,0.00126537,0.003506038,0.4389158,0.001347176,0.09135607],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02538877,"threshold_uncertainty_score":0.08493394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976644855005089,"score_gpt":0.3170376251718195,"score_spread":0.2772711766217686,"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."}}