{"id":"W2998900799","doi":"10.29173/hsi228","title":"An Overview of CRISPR – From Germs to Giants","year":2017,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"CRISPR; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003595226,0.00007980583,0.0001241913,0.00004287952,0.0002612909,0.00004703175,0.0006639939,0.00004043039,0.00001322252],"category_scores_gemma":[0.0000762968,0.00007547622,0.00002658011,0.00006841052,0.0002587276,0.00001135294,0.0001642643,0.0000397174,0.000008928396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248504,"about_ca_system_score_gemma":0.0002289768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338361,"about_ca_topic_score_gemma":0.00007030531,"domain_scores_codex":[0.9990055,0.00000806539,0.0001749762,0.0003370745,0.000185754,0.0002886405],"domain_scores_gemma":[0.9986448,0.000002541363,0.00009052104,0.0009276494,0.00006380894,0.0002707161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000275585,0.00005007878,0.00939504,0.00005372351,0.000004227453,0.000001255005,0.0007564015,0.0002845773,0.9473162,0.0001027808,0.001189237,0.04081893],"study_design_scores_gemma":[0.0002237593,0.0005486715,0.5534768,0.00007169385,0.000002498683,0.000003190857,0.0002060111,0.0003335237,0.4381922,0.00007941589,0.006684738,0.0001774999],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900948,0.001406057,0.007150517,0.0004133809,0.0006608526,0.0001239784,0.00001440382,0.000006756887,0.0001292857],"genre_scores_gemma":[0.9954636,0.0003727103,0.00322767,0.0006532512,0.000245274,0.000005170775,0.000006331253,0.000007525164,0.00001848654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5440818,"threshold_uncertainty_score":0.3077831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250713339338267,"score_gpt":0.5039428773900322,"score_spread":0.3788715434562055,"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."}}