{"id":"W2257239918","doi":"10.1007/s12079-015-0301-y","title":"Come together, right now….","year":2015,"lang":"en","type":"article","venue":"Journal of Cell Communication and Signaling","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"CRISPR; Genome editing; Cas9; Computer science; Computational biology; Genome; Biology; Genetics; Gene","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":[0.001984543,0.0009852786,0.0006264909,0.0005813545,0.004122416,0.00575544,0.00123769,0.004836019,0.1343708],"category_scores_gemma":[0.008378278,0.0004727152,0.0009167259,0.0004303999,0.002017254,0.006547343,0.004577452,0.01320869,0.1117325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496896,"about_ca_system_score_gemma":0.002635664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006473894,"about_ca_topic_score_gemma":0.01584442,"domain_scores_codex":[0.9980485,0.0003353912,0.0001004902,0.0003260639,0.0008583509,0.0003311106],"domain_scores_gemma":[0.9970973,0.000376376,0.0001565171,0.0002322954,0.001106806,0.001030648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002218926,0.00001227854,0.0001177985,0.00006265549,0.00000561499,0.0000984964,0.0001914108,0.00001160368,0.0002289149,0.006362105,0.9480261,0.04486081],"study_design_scores_gemma":[0.000001598768,0.000004693702,0.00005943559,0.00003594401,0.000001738531,0.00006035533,0.000119089,0.000004687332,0.00004238804,0.0007236747,0.9989422,0.00000422601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006332176,0.01888075,0.002904175,0.5659039,0.2115995,0.00007987512,0.0005034693,0.0009976662,0.1984974],"genre_scores_gemma":[0.005671397,0.009170463,0.003045834,0.2523311,0.01861459,0.00007565011,0.000452944,0.0004307786,0.7102072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1343708,"threshold_uncertainty_score":0.4495152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148959331443911,"score_gpt":0.2947857767214899,"score_spread":0.2798898435770988,"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."}}