{"id":"W4386841592","doi":"10.5281/zenodo.8356134","title":"Antibody Characterization Report for Calponin-3","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Calponin; Antibody; Characterization (materials science); Computational biology; Immunology; Biology; Materials science; Nanotechnology; Immunohistochemistry","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":[0.0007157851,0.001731731,0.0007740116,0.00163012,0.001182097,0.0008861219,0.001442345,0.0007969167,0.01766459],"category_scores_gemma":[0.001510218,0.0007356504,0.00120576,0.001324458,0.0002672873,0.0008609121,0.0006863297,0.00230564,0.01531463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033328,"about_ca_system_score_gemma":0.001328723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843181,"about_ca_topic_score_gemma":0.002655885,"domain_scores_codex":[0.9992959,0.00007671869,0.00009518048,0.0001797657,0.00020888,0.0001434801],"domain_scores_gemma":[0.9989269,0.0002093073,0.0001032661,0.0001797106,0.0004113529,0.0001695248],"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":[0.0001529226,0.0001169371,0.0002151566,0.0003404641,0.00003535284,0.000238534,0.00007725094,0.00009297638,0.9850082,0.0007825141,0.004543999,0.008395668],"study_design_scores_gemma":[0.0001707622,0.0006935782,0.008423829,0.0001638628,0.0002223578,0.004855592,0.0001525254,0.001880529,0.5430093,0.0009472267,0.4394092,0.0000712234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.2739328,0.0313225,0.5797709,0.00373611,0.003682246,0.006277139,0.0533695,0.003030862,0.04487792],"genre_scores_gemma":[0.2264951,0.04116648,0.2976483,0.003214326,0.001326664,0.006299946,0.3543649,0.001383715,0.0681006],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01766459,"threshold_uncertainty_score":0.05909389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933806500726008,"score_gpt":0.294962905699809,"score_spread":0.2656248406925489,"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."}}