{"id":"W4378439046","doi":"10.5281/zenodo.7971965","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; Antibody; LRRK2; Leucine; Characterization (materials science); Kinase; Chemistry; Biochemistry; Medicine; Immunology; Amino acid; Materials science; Nanotechnology; Gene","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":[0.000845616,0.0020636,0.001073826,0.002159445,0.001104629,0.0009296731,0.001530901,0.0009270334,0.01958146],"category_scores_gemma":[0.001398841,0.000855264,0.001258981,0.001548033,0.000270301,0.0009571553,0.0006049431,0.001731013,0.02108748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138012,"about_ca_system_score_gemma":0.001138323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184863,"about_ca_topic_score_gemma":0.002566454,"domain_scores_codex":[0.9992229,0.0001065068,0.0001394473,0.0001952301,0.0001914957,0.000144357],"domain_scores_gemma":[0.9987865,0.0002171531,0.0001313466,0.0002010869,0.0004628526,0.0002011389],"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":[0.0002028558,0.0001374104,0.0002777577,0.0004377893,0.00005763147,0.0004037597,0.00006501432,0.00007861116,0.9840126,0.0005223427,0.006300419,0.007503869],"study_design_scores_gemma":[0.0002030088,0.001116377,0.0137993,0.0001498344,0.0003877326,0.007797908,0.0001868925,0.001494077,0.6247793,0.000583855,0.3494137,0.00008790899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3515227,0.04927158,0.451882,0.004730103,0.005894928,0.004302116,0.07850826,0.0045547,0.04933357],"genre_scores_gemma":[0.2188527,0.04127412,0.190844,0.002054414,0.001769186,0.003990171,0.4770663,0.001365728,0.0627834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01958146,"threshold_uncertainty_score":0.06550652,"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."}}