{"id":"W2999616463","doi":"10.29173/hsi230","title":"CRISPRs to Treat, Understand, and Prevent Disease","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":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Disease; Medicine; Intensive care medicine; Biology; Internal medicine","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":[0.000284781,0.00007872259,0.00007200888,0.00003996647,0.0005318485,0.00008920211,0.0002557164,0.00002101817,0.000003119221],"category_scores_gemma":[0.00009106781,0.00007288861,0.00001769017,0.00004293523,0.0003140386,0.000007045501,0.0001934783,0.00003226695,0.000004086179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000245089,"about_ca_system_score_gemma":0.0002441323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003486088,"about_ca_topic_score_gemma":0.00002472728,"domain_scores_codex":[0.9991348,0.000005546015,0.00009974579,0.0003296614,0.0001354171,0.0002947624],"domain_scores_gemma":[0.9989348,0.000002234037,0.00003803825,0.0004993202,0.0000269466,0.0004986493],"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":[0.000496043,0.0004802592,0.1252923,0.001122736,0.0000314327,0.00004399884,0.007590678,0.003020045,0.5495687,0.003487509,0.04584191,0.2630244],"study_design_scores_gemma":[0.0008723075,0.0009639982,0.8793159,0.000138652,0.00001443158,0.00002546752,0.001415345,0.000623037,0.08945767,0.0004725778,0.02605346,0.0006471747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860188,0.0008801303,0.009469406,0.002786851,0.0003439179,0.0002057482,0.000005233181,0.00000860301,0.0002812556],"genre_scores_gemma":[0.9980608,0.0002442529,0.0006540777,0.000639796,0.0001629757,0.000008689303,0.000002056994,0.000006558691,0.0002208177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7540236,"threshold_uncertainty_score":0.4090602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528171012939696,"score_gpt":0.4403486764562257,"score_spread":0.3875315751622561,"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."}}