{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005640431,0.0001443325,0.0002321997,0.0002108032,0.001472473,0.0004502822,0.0002624557,0.00008368117,0.009479347],"category_scores_gemma":[0.003277744,0.0001561129,0.00009917536,0.0006989979,0.000107958,0.0001485371,0.0004172155,0.0002078148,0.001394147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088559,"about_ca_system_score_gemma":0.00003584549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005217844,"about_ca_topic_score_gemma":3.245105e-7,"domain_scores_codex":[0.9980379,0.0001987502,0.0003245845,0.0005470352,0.0004757236,0.0004159963],"domain_scores_gemma":[0.9968072,0.00003627154,0.0001021424,0.0005273313,0.002317898,0.0002091214],"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":[0.0003435962,0.0003763264,0.0001515732,0.0002036673,0.000103546,0.0005660165,0.000651587,0.000003696367,0.9592561,0.0008987501,0.007410706,0.0300344],"study_design_scores_gemma":[0.00118643,0.0003604025,0.002699499,0.00004827835,0.00003096539,0.009214698,0.0002896769,0.0007098997,0.01230474,0.00008770308,0.9729046,0.0001631149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3775914,0.0002503604,0.4207294,0.01081553,0.0003972105,0.004039279,0.0008873175,0.00206406,0.1832254],"genre_scores_gemma":[0.6441506,0.0003258277,0.001836726,0.00099814,0.0007389702,6.933159e-7,0.3215954,0.00363825,0.02671541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9654939,"threshold_uncertainty_score":0.9998275,"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."}}