{"id":"W2114143739","doi":"10.1093/bioinformatics/18.3.484","title":"Assembly of fingerprint contigs: parallelized FPC","year":2002,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Human Genome Research Institute; BC Cancer Agency","keywords":"Contig; Fingerprint (computing); Computer science; File Transfer Protocol; Artificial intelligence; Operating system; Biology; Genome; Genetics; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001300492,0.002208005,0.001424828,0.001828796,0.001033788,0.001786481,0.002452577,0.0007335414,0.01656463],"category_scores_gemma":[0.004825911,0.001121502,0.001326617,0.003095784,0.0005311506,0.001023066,0.001801199,0.002419035,0.01565353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207607,"about_ca_system_score_gemma":0.001312702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005658129,"about_ca_topic_score_gemma":0.003805987,"domain_scores_codex":[0.9987971,0.0001365692,0.00009759128,0.0004964141,0.0003063953,0.0001659571],"domain_scores_gemma":[0.9979433,0.0005963753,0.0001327486,0.0005663057,0.0006007306,0.0001604658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003995183,0.0004970329,0.004663278,0.00209064,0.0004119196,0.0007858021,0.001061759,0.02519126,0.2590244,0.006580053,0.1133143,0.5823845],"study_design_scores_gemma":[0.0009408945,0.0005306061,0.009309564,0.0001716496,0.000299721,0.001657808,0.0002810084,0.2291376,0.4805957,0.02284515,0.2538334,0.0003969443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03802522,0.0007373009,0.8411593,0.000360692,0.0002657135,0.0006558712,0.01236822,0.1002119,0.006215749],"genre_scores_gemma":[0.05915791,0.0003485688,0.8741735,0.0002134621,0.00007830361,0.001229901,0.04757889,0.0109084,0.006311151],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01656463,"threshold_uncertainty_score":0.05541426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941566860374088,"score_gpt":0.2466464215691118,"score_spread":0.2072307529653709,"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."}}