{"id":"W2282969363","doi":"10.14288/1.0167316","title":"Cytoskeletal control of B cell receptor dynamics and signaling","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cytoskeleton; Cell biology; Dynamics (music); Signal transduction; Control (management); Cell; Chemistry; Biology; Computer science; Computational biology; Genetics; Physics; Artificial intelligence","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":[0.00009508684,0.0002475133,0.0001615993,0.0003845101,0.0004722544,0.0009148931,0.0003337108,0.0005493344,0.002031711],"category_scores_gemma":[0.0001223414,0.0002607285,0.0002040934,0.000209954,0.0002938955,0.0004069401,0.0003417235,0.000567327,0.0007911891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009557729,"about_ca_system_score_gemma":0.000280405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047602,"about_ca_topic_score_gemma":0.002128925,"domain_scores_codex":[0.9998623,0.000009331011,0.000005151526,0.0000331971,0.00004890779,0.0000411419],"domain_scores_gemma":[0.9999456,0.000009119697,0.00001475052,0.000003370869,0.00001353718,0.00001350213],"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":[0.0000565797,0.00003583719,0.0005021648,0.0002005758,0.000007668944,0.0001420142,0.0001293435,0.001222698,0.9520962,0.01323722,0.002371809,0.02999788],"study_design_scores_gemma":[0.00004631319,0.0002981128,0.02063602,0.0003069954,0.00004305611,0.001042897,0.0004294651,0.01543798,0.7471403,0.01097452,0.2035786,0.00006577794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7166036,0.112249,0.06697381,0.005251734,0.0010046,0.0002466866,0.0009872454,0.002175928,0.0945074],"genre_scores_gemma":[0.8925217,0.05461332,0.01447178,0.0006089382,0.0003707126,0.0001978032,0.0005339636,0.0001245432,0.03655724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002031711,"threshold_uncertainty_score":0.006934643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006375157885406567,"score_gpt":0.1604613024186742,"score_spread":0.1540861445332676,"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."}}