{"id":"W2062593333","doi":"10.1097/00005176-200410000-00031","title":"Powerful New Genetic Tools May Unlock Old Mysteries","year":2004,"lang":"en","type":"letter","venue":"Journal of Pediatric Gastroenterology and Nutrition","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"","keywords":"Medicine; Computational biology; Evolutionary biology; Biology","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":[0.007516821,0.001110338,0.001486237,0.001132438,0.0008563861,0.003207466,0.00154234,0.00239792,0.007950109],"category_scores_gemma":[0.00507988,0.0005790637,0.0009994092,0.000535574,0.006387903,0.00926312,0.002984125,0.008170387,0.002907137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008780462,"about_ca_system_score_gemma":0.001124914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002832116,"about_ca_topic_score_gemma":0.0004979835,"domain_scores_codex":[0.9986356,0.0004707865,0.0001255867,0.0002205781,0.0003712412,0.0001762304],"domain_scores_gemma":[0.9954894,0.002438542,0.0002977778,0.0008201633,0.0004822473,0.0004718605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001323063,0.000366096,0.004066814,0.001763451,0.0005617775,0.001967733,0.001013557,0.004000986,0.1279991,0.4173636,0.05442045,0.3851534],"study_design_scores_gemma":[0.0002150975,0.0007978402,0.002339609,0.0007106722,0.0001867517,0.001778309,0.001320342,0.004031333,0.0199485,0.4230222,0.5454465,0.0002028491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.0825448,0.2632337,0.3783914,0.2103992,0.01644004,0.0003146937,0.002020481,0.004959472,0.04169624],"genre_scores_gemma":[0.3449635,0.2356386,0.3022882,0.06568391,0.01415763,0.000912238,0.002436131,0.001169577,0.03275025],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007950109,"threshold_uncertainty_score":0.0397532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007616480723388078,"score_gpt":0.2489562813726465,"score_spread":0.2413398006492584,"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."}}