{"id":"W4391477362","doi":"10.20944/preprints202402.0085.v1","title":"Crispr-cas System: Classification, Benefits, Applications And Function","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CRISPR; Function (biology); Computer science; Computational biology; 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":[0.001689034,0.001374272,0.001197998,0.004203228,0.001029243,0.003520896,0.001269871,0.002016701,0.00806708],"category_scores_gemma":[0.003586118,0.0006278238,0.0009118697,0.003257683,0.001237781,0.002189104,0.0012755,0.002779962,0.01204291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139676,"about_ca_system_score_gemma":0.001674005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209883,"about_ca_topic_score_gemma":0.001400703,"domain_scores_codex":[0.9971731,0.0003265167,0.0003850045,0.0004876378,0.001455659,0.0001719984],"domain_scores_gemma":[0.998317,0.0004015623,0.0002131246,0.0003011133,0.000592477,0.0001747643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003752922,0.0001085504,0.002419464,0.001890859,0.00007977832,0.0002770955,0.0002292298,0.003615343,0.030817,0.06062039,0.1539734,0.7455935],"study_design_scores_gemma":[0.00004045488,0.0001376742,0.002316843,0.0004603074,0.00006982867,0.002196705,0.00007787529,0.01277901,0.02770091,0.03065543,0.9234015,0.0001634508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01147139,0.06254635,0.7403336,0.008429409,0.002671245,0.001368366,0.01798999,0.05894203,0.09624754],"genre_scores_gemma":[0.08081476,0.05565219,0.7489818,0.004444499,0.001714269,0.001281191,0.02866182,0.006922544,0.07152679],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00806708,"threshold_uncertainty_score":0.02698702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614777810093528,"score_gpt":0.2910983555413731,"score_spread":0.2296205745320203,"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."}}