{"id":"W4256092138","doi":"10.3410/f.718538751.793499318","title":"Faculty Opinions recommendation of Selection of chromosomal DNA libraries using a multiplex CRISPR system.","year":2014,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"CRISPR; Multiplex; Selection (genetic algorithm); Computational biology; DNA; Computer science; Biology; Genetics; Gene; Artificial intelligence","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":[0.002466952,0.002705035,0.002367841,0.006029831,0.0008738484,0.003418145,0.003471345,0.003132783,0.1065321],"category_scores_gemma":[0.01581237,0.0008244554,0.001888401,0.008612836,0.0004303878,0.001735912,0.002312184,0.001942555,0.1172045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888346,"about_ca_system_score_gemma":0.00433901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120854,"about_ca_topic_score_gemma":0.05144152,"domain_scores_codex":[0.9972215,0.0004605703,0.0003750532,0.0008137953,0.000795081,0.0003340995],"domain_scores_gemma":[0.992537,0.002578571,0.0009013622,0.001377785,0.00172707,0.000878192],"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":[0.0001364597,0.00002994431,0.0015847,0.001318788,0.00007326374,0.00001880347,0.00001225081,0.0002140238,0.000162256,0.0002201849,0.9930971,0.003132278],"study_design_scores_gemma":[0.0006442678,0.00004316471,0.00689857,0.0007169489,0.0001292684,0.00006131543,0.00005222836,0.0007052476,0.000751294,0.001383282,0.9885677,0.00004663685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000892684,0.00008785475,0.0000549357,0.00006403106,0.00001995444,0.00001391218,0.9988211,0.0003231732,0.0005257293],"genre_scores_gemma":[0.0003656293,0.00009045938,0.0003007306,0.00009642795,0.00000943289,0.00007666579,0.9982356,0.00008328598,0.000741702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1065321,"threshold_uncertainty_score":0.3563854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158290482759521,"score_gpt":0.3515645519239555,"score_spread":0.3299816470963603,"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."}}