{"id":"W7071122187","doi":"","title":"Purification and Identification of Cell Surface Antigens using Lamprey Monoclonal Antibodies","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lamprey; Monoclonal antibody; Antigen; Antibody; Immunoprecipitation; Jurkat cells; Blot; Flow cytometry; Cell","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573949,0.0003117414,0.0001782988,0.0004446143,0.0002095236,0.0003406355,0.000305309,0.0003261032,0.001420739],"category_scores_gemma":[0.0002068871,0.0001725156,0.0002813431,0.0002876867,0.0001066401,0.0001648654,0.0002385852,0.0004153227,0.00118932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447455,"about_ca_system_score_gemma":0.0002673635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119251,"about_ca_topic_score_gemma":0.003168371,"domain_scores_codex":[0.999775,0.00002584817,0.00002235188,0.0000442639,0.00008379713,0.00004869206],"domain_scores_gemma":[0.9999111,0.00001237266,0.00001438943,0.00001066072,0.00004003973,0.00001141161],"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":[0.00001086833,0.000008585682,0.0001863075,0.00002603119,0.000004220098,0.00002377211,0.00001179685,0.00002366727,0.9966936,0.00009142589,0.0001095993,0.00281009],"study_design_scores_gemma":[0.000006572405,0.000115184,0.005161359,0.00001571132,0.00002002396,0.0002486922,0.00003190782,0.0007810912,0.9791835,0.00006250609,0.01436771,0.000005759036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8814796,0.005913925,0.09588779,0.0005101473,0.0001228727,0.0004869749,0.001820332,0.0007346919,0.01304372],"genre_scores_gemma":[0.833739,0.006379644,0.1306865,0.0006213528,0.00005091812,0.0003071177,0.006522949,0.0001200738,0.02157256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420739,"threshold_uncertainty_score":0.004752815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008316166855180853,"score_gpt":0.2059996424805457,"score_spread":0.1976834756253648,"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."}}