{"id":"W4240101819","doi":"10.1002/047001153x.g202310","title":"Fingerprint mapping","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Fingerprint (computing); Genome; Computational biology; Biology; Genomics; clone (Java method); Restriction enzyme; Genetics; Caenorhabditis elegans; Computer science; Artificial intelligence; 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":[0.00103037,0.001652204,0.001008396,0.003352437,0.000974429,0.00217344,0.002013336,0.001215621,0.07152223],"category_scores_gemma":[0.00260976,0.0006380733,0.0008436558,0.002952203,0.0004519138,0.001642611,0.002031964,0.001243861,0.05431776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000562416,"about_ca_system_score_gemma":0.000799589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111218,"about_ca_topic_score_gemma":0.001099475,"domain_scores_codex":[0.9986095,0.0001167417,0.00009228883,0.0003464333,0.0006916733,0.0001433676],"domain_scores_gemma":[0.9985126,0.0002625376,0.00009357006,0.0004981747,0.0005242624,0.0001088956],"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":[0.0004757955,0.0001507454,0.001826971,0.001014737,0.00006815614,0.0007225937,0.0002017019,0.001457207,0.2350018,0.01443919,0.080618,0.6640231],"study_design_scores_gemma":[0.00005072709,0.0001560205,0.002406564,0.0002101058,0.00007064871,0.001974995,0.0001633211,0.005036126,0.2815872,0.004624681,0.7036262,0.00009335463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02472726,0.005149524,0.7329945,0.0009492734,0.002071217,0.001244947,0.02932214,0.04552476,0.1580164],"genre_scores_gemma":[0.1242506,0.005454672,0.5633345,0.001594718,0.0002517196,0.001633237,0.04508251,0.007034351,0.2513638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07152223,"threshold_uncertainty_score":0.2392657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005139391656115534,"score_gpt":0.2357408803638426,"score_spread":0.2306014887077271,"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."}}