{"id":"W4231928785","doi":"10.1007/978-1-60327-565-1_17","title":"Phage Typing","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Typing; Phage typing; Biology; Computational biology; Computer science; Microbiology","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":[0.001903045,0.001052963,0.001544944,0.002074349,0.001230109,0.001858008,0.001450258,0.001256643,0.0235904],"category_scores_gemma":[0.003148295,0.0005564537,0.001079228,0.00217208,0.0004660948,0.0006237249,0.001543948,0.001113587,0.04312888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884489,"about_ca_system_score_gemma":0.0008759267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508403,"about_ca_topic_score_gemma":0.001770162,"domain_scores_codex":[0.9961507,0.0004998836,0.0003386287,0.0009167815,0.001383696,0.0007103112],"domain_scores_gemma":[0.998166,0.0003084976,0.0001312878,0.0004761987,0.0007136472,0.0002043971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001212826,0.0005713863,0.01668153,0.001117644,0.00008929116,0.000508618,0.0004158181,0.0006771372,0.7369386,0.003181028,0.03072765,0.2078785],"study_design_scores_gemma":[0.00008785698,0.001176548,0.02663231,0.0004081229,0.0001988632,0.002485995,0.000280532,0.001579146,0.4730912,0.001462491,0.4924807,0.0001162505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2022391,0.01046853,0.4712757,0.001444604,0.003032311,0.008850106,0.09872168,0.009360639,0.1946074],"genre_scores_gemma":[0.263166,0.009417813,0.2681409,0.003188514,0.0004912554,0.004272343,0.1603806,0.002090857,0.2888516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0235904,"threshold_uncertainty_score":0.07891768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626878642792554,"score_gpt":0.3883552000002732,"score_spread":0.3720864135723476,"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."}}