{"id":"W4297935534","doi":"10.5281/zenodo.4628026","title":"Antibody Characterization Report for Dynamin-1","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Characterization (materials science); Dynamin; Computational biology; Virology; Immunology; Biology; Nanotechnology; Genetics; Materials science; Endocytosis; Receptor","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":[0.0006754484,0.001814684,0.0009573943,0.00195701,0.001238391,0.0009103622,0.0014076,0.0007876863,0.02040948],"category_scores_gemma":[0.00112929,0.0009754634,0.00113888,0.001405365,0.0002550273,0.0008261962,0.0005869852,0.001884348,0.01899141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007767655,"about_ca_system_score_gemma":0.001213857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434291,"about_ca_topic_score_gemma":0.002138621,"domain_scores_codex":[0.9993388,0.00006988028,0.000100586,0.0002015597,0.0001487838,0.0001403355],"domain_scores_gemma":[0.9989924,0.0002230598,0.0001007016,0.0001497641,0.0003667834,0.00016726],"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":[0.0002481435,0.0001344742,0.0002463097,0.0006143586,0.00004784924,0.0002454901,0.00006789252,0.0001124271,0.9810429,0.0009332503,0.006697292,0.009609641],"study_design_scores_gemma":[0.0001383364,0.0005146161,0.006384088,0.0001267554,0.0002192695,0.003839208,0.0000961977,0.00142878,0.5967268,0.0007513561,0.3897045,0.00007004815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2778087,0.04589689,0.5186267,0.004119873,0.005169049,0.004099853,0.08553373,0.005477523,0.05326755],"genre_scores_gemma":[0.211207,0.04092278,0.2448713,0.002300841,0.001403543,0.004705193,0.4074575,0.001546158,0.08558555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02040948,"threshold_uncertainty_score":0.06827646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686423478430873,"score_gpt":0.2476191994026918,"score_spread":0.2307549646183831,"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."}}