{"id":"W4378775447","doi":"10.5281/zenodo.7987195","title":"Antibody Characterization Report for Leucine-rich repeat kinase 2 (LRRK2)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Leucine-rich repeat; LRRK2; Antibody; Leucine; Kinase; Characterization (materials science); Chemistry; Biochemistry; Computational biology; Biology; Immunology; Amino acid; Materials science; Nanotechnology; Gene","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":[0.0008327069,0.001781003,0.001019812,0.0018381,0.001235834,0.0009571393,0.001582101,0.0008773291,0.0191501],"category_scores_gemma":[0.001354145,0.0007684994,0.001082561,0.001488552,0.0002906559,0.0007644548,0.0005158475,0.001640787,0.0202866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009791445,"about_ca_system_score_gemma":0.001725254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00716821,"about_ca_topic_score_gemma":0.01181878,"domain_scores_codex":[0.9992511,0.00008990595,0.0001133203,0.000169644,0.0002167249,0.0001593604],"domain_scores_gemma":[0.9987407,0.0001723938,0.0001028422,0.000186978,0.0005952138,0.00020192],"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":[0.0001642581,0.000106657,0.000295439,0.0003719377,0.00004803228,0.0004217445,0.00006840254,0.00007513974,0.9840559,0.0004297715,0.007402248,0.006560547],"study_design_scores_gemma":[0.0001928822,0.0007614282,0.02005748,0.0001500053,0.0003161668,0.007201668,0.0002435879,0.001553373,0.5675628,0.000509508,0.4013561,0.0000950109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3683159,0.04579018,0.3960349,0.006345359,0.005678039,0.005639853,0.1019246,0.004149408,0.06612166],"genre_scores_gemma":[0.2425558,0.03450362,0.181562,0.002910772,0.001457232,0.003661222,0.4363582,0.001271511,0.09571963],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0191501,"threshold_uncertainty_score":0.06406349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060279213090671,"score_gpt":0.2869165931728422,"score_spread":0.2663138010419355,"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."}}