{"id":"W4307221770","doi":"10.5281/zenodo.7249802","title":"Antibody Characterization Report for TDP-43","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Characterization (materials science); Chemistry; Medicine; Materials science; Immunology; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001970363,0.002084197,0.001301722,0.00306291,0.002059941,0.001370619,0.00168772,0.001372694,0.03717569],"category_scores_gemma":[0.003800748,0.001149525,0.001173513,0.001830772,0.0004703301,0.0009690583,0.001178702,0.002936163,0.04819765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007860397,"about_ca_system_score_gemma":0.001819287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237082,"about_ca_topic_score_gemma":0.003579063,"domain_scores_codex":[0.9980111,0.0002289368,0.0002669257,0.0005170066,0.0006390575,0.0003368896],"domain_scores_gemma":[0.9965432,0.0004952349,0.0001538048,0.0007356297,0.001714592,0.0003575124],"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":[0.0002977681,0.0001752632,0.0004844952,0.0009293968,0.00009161941,0.0004887625,0.0002636995,0.0001899014,0.943406,0.001717862,0.02839817,0.02355686],"study_design_scores_gemma":[0.0001148768,0.0003545056,0.003824086,0.0002096459,0.0002137837,0.00331731,0.0001198656,0.001106763,0.3834356,0.0009486025,0.6062688,0.0000861361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1316673,0.02549587,0.659307,0.004407078,0.006767505,0.008858273,0.07982508,0.007165375,0.07650655],"genre_scores_gemma":[0.1217836,0.02609799,0.3449455,0.003101752,0.0016883,0.01075127,0.3497986,0.004069835,0.1377631],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03717569,"threshold_uncertainty_score":0.124365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121151492328749,"score_gpt":0.3131312584142966,"score_spread":0.2619197434910091,"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."}}