{"id":"W4312009916","doi":"10.5281/zenodo.7459629","title":"Antibody Characterization Report for Transmembrane protein 106B","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Transmembrane protein; Characterization (materials science); Chemistry; Medicine; Immunology; Materials science; Biochemistry; Nanotechnology; Receptor","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":[0.001192393,0.001474439,0.0008227387,0.001936273,0.001147085,0.0009402659,0.001127413,0.001187482,0.02589033],"category_scores_gemma":[0.002098514,0.0007965143,0.0008539785,0.001228202,0.0003089537,0.0007726355,0.0008729558,0.001998467,0.03699425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005682175,"about_ca_system_score_gemma":0.0009829791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221662,"about_ca_topic_score_gemma":0.001463035,"domain_scores_codex":[0.9989529,0.0001415404,0.0001509492,0.0002229025,0.0003682388,0.0001634438],"domain_scores_gemma":[0.9984633,0.0001723515,0.000120808,0.000297988,0.0007233729,0.0002222163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001450975,0.00008160216,0.0002847658,0.0004334861,0.00003451894,0.0002468748,0.0001034226,0.0001028643,0.9717171,0.0008954454,0.0139947,0.01196008],"study_design_scores_gemma":[0.0001094323,0.0003928357,0.004285176,0.0002011713,0.0001254639,0.003461877,0.00009974798,0.001095787,0.4569312,0.0005698766,0.532661,0.00006648978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.2403781,0.03121079,0.5452493,0.006162307,0.004851602,0.005913908,0.09072249,0.005414634,0.07009674],"genre_scores_gemma":[0.1754042,0.02924671,0.2717933,0.00247042,0.001080594,0.005103533,0.3951087,0.002503974,0.1172885],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02589033,"threshold_uncertainty_score":0.08661175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367905890428017,"score_gpt":0.2923371135575725,"score_spread":0.2555465245147708,"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."}}