{"id":"W2324962220","doi":"10.1038/protex.2011.269","title":"Creation of mixed bone marrow chimeras with appropriate controls","year":2011,"lang":"en","type":"article","venue":"Protocol Exchange","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; National Institutes of Health; Österreichischen Akademie der Wissenschaften; McGill University","keywords":"Chimera (genetics); Bone marrow; Computational biology; Computer science; Chemistry; Immunology; Molecular biology; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001365466,0.000124565,0.0003548177,0.00005657635,0.00002732724,0.000004703905,0.00004855432,0.00009007403,0.0009052044],"category_scores_gemma":[0.000187863,0.000078795,0.00005123567,0.0001244395,0.00009193711,0.00004237247,0.00002259431,0.00008511313,0.00003441167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009651098,"about_ca_system_score_gemma":0.00003636047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006679545,"about_ca_topic_score_gemma":0.00001754275,"domain_scores_codex":[0.9991794,0.00003625082,0.0002387646,0.0001717334,0.0001868758,0.0001869407],"domain_scores_gemma":[0.999379,0.00004304816,0.0001392222,0.0002033291,0.0001280469,0.0001072916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04373404,0.01652408,0.7115089,0.01341397,0.0007559291,0.0008199111,0.007231715,0.000002324571,0.02122833,0.03182476,0.009112372,0.1438437],"study_design_scores_gemma":[0.07028744,0.02666695,0.6576504,0.002603446,0.0007682529,0.0002762429,0.0006845522,0.0007543739,0.1539184,0.01325388,0.07168516,0.001450913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.09966052,0.0001266341,0.005730108,0.0006797944,0.00005051918,0.7555364,0.00002579112,0.0002236856,0.1379665],"genre_scores_gemma":[0.4615405,0.000005295711,0.004847516,0.0002669917,0.00005070478,0.5328704,0.0000138537,0.00002456655,0.0003802034],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3618799,"threshold_uncertainty_score":0.9911353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243488220122816,"score_gpt":0.2933808580651804,"score_spread":0.2509459758639522,"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."}}