{"id":"W2783689644","doi":"10.1021/acssynbio.7b00415","title":"Genetically Encoded Circuit for Remote Regulation of Cell Migration by Magnetic Fields","year":2018,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute","keywords":"Cell migration; RHOA; Cell biology; Magnetic field; Synthetic biology; Electroporation; Cell; Biology; Biophysics; Chemistry; Signal transduction; Physics; Bioinformatics; Gene; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008936416,0.0002171074,0.0001998183,0.0001471465,0.0001192243,0.0002728223,0.0005188672,0.000449333,0.001049756],"category_scores_gemma":[0.0001890789,0.0001076062,0.0001781666,0.00008838809,0.0002913906,0.0002028459,0.0002124165,0.0004109637,0.0002550916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215837,"about_ca_system_score_gemma":0.0001665444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283836,"about_ca_topic_score_gemma":0.0003956188,"domain_scores_codex":[0.9999074,0.000009139677,0.000006731134,0.0000267104,0.00002777569,0.00002229907],"domain_scores_gemma":[0.9999422,0.0000133669,0.00001755472,0.000007005432,0.000008823342,0.0000110759],"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":[0.00001826029,0.00001539579,0.00002373994,0.00002191086,0.000001666535,0.00002773416,0.000008063661,0.0001969243,0.9973789,0.0004882088,0.00006135169,0.001757779],"study_design_scores_gemma":[0.0000262018,0.0001529374,0.0004107113,0.000004811954,0.00001047611,0.00009410775,0.000008796648,0.005479496,0.9891722,0.0001313734,0.004498463,0.00001037234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967398,0.0009675464,0.09381159,0.0006237478,0.0003879999,0.0001553139,0.0003324156,0.00139327,0.005588288],"genre_scores_gemma":[0.9712583,0.000387513,0.02442699,0.0001506778,0.00003032366,0.0001279743,0.0001322676,0.00005961494,0.003426521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049756,"threshold_uncertainty_score":0.003511786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608835143131569,"score_gpt":0.2527565618193441,"score_spread":0.2266682103880285,"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."}}