{"id":"W4252122577","doi":"10.3410/f.718206644.793489639","title":"Faculty Opinions recommendation of Genetic screens in human cells using the CRISPR-Cas9 system.","year":2014,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CRISPR; Cas9; Computational biology; Genetics; Biology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001242618,0.0005035986,0.0008200815,0.0004165557,0.0001758503,0.00009867699,0.001435122,0.0007055627,0.0001228949],"category_scores_gemma":[0.0009207307,0.0003118227,0.0003782052,0.001953087,0.0002491672,0.0001564198,0.0002278154,0.001146364,0.00002389915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409408,"about_ca_system_score_gemma":0.0001715525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001649437,"about_ca_topic_score_gemma":0.00001118768,"domain_scores_codex":[0.9961591,0.0003112885,0.001668882,0.0004480769,0.001011537,0.0004010585],"domain_scores_gemma":[0.9962798,0.0001220682,0.0006215975,0.001321869,0.001424796,0.000229903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001488308,0.00009747047,0.000002424821,0.01837023,0.00006954114,1.582265e-7,0.00008304946,0.00003361764,0.00002324826,0.00009097585,0.9806406,0.0005871793],"study_design_scores_gemma":[0.0002976191,0.00003719603,0.0009069729,0.01319068,0.00013318,0.0000244377,0.0000428014,0.001223971,0.00004330695,0.000006510099,0.9837864,0.0003069341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000517085,0.001093888,0.0008996156,0.02372942,0.002048242,0.001042357,0.9710596,0.00008308898,0.00003858337],"genre_scores_gemma":[0.0002226474,0.000174018,0.0009175765,0.0006231312,0.0005051712,0.0001523923,0.9972523,0.00004349547,0.0001092373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02619269,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832306970017895,"score_gpt":0.3231449770857195,"score_spread":0.2948219073855406,"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."}}