{"id":"W4365398990","doi":"10.17504/protocols.io.n2bvj8oowgk5/v2","title":"HTTM : Illumina library preparation v2","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Illumina dye sequencing; Computer science; Computational biology; Information retrieval; DNA sequencing; 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":[0.002442686,0.004521475,0.004051793,0.003931475,0.001891442,0.002897377,0.00388716,0.001798131,0.09770808],"category_scores_gemma":[0.004492981,0.003613257,0.002729055,0.004470775,0.001021521,0.001305133,0.002457894,0.006656702,0.1624341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008022728,"about_ca_system_score_gemma":0.001488935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384235,"about_ca_topic_score_gemma":0.005797673,"domain_scores_codex":[0.9971567,0.0006293592,0.0002415455,0.0009796139,0.000658258,0.0003344185],"domain_scores_gemma":[0.9988317,0.0003062987,0.00006698027,0.0005285472,0.0001642098,0.0001021951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001109124,0.0002204651,0.0008330412,0.004777924,0.0007017265,0.0003748037,0.0005807246,0.002396895,0.2449787,0.008818053,0.6467042,0.08850436],"study_design_scores_gemma":[0.0002751161,0.000177258,0.001658987,0.0002335038,0.0002884528,0.0006645246,0.00005115265,0.003192014,0.109356,0.007400413,0.8764774,0.0002251983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.005012706,0.003801733,0.4523549,0.0004323158,0.0008450959,0.002843774,0.3983735,0.1126428,0.02369321],"genre_scores_gemma":[0.007185948,0.001509826,0.3569414,0.001218555,0.0002511203,0.006088296,0.5544801,0.04624008,0.02608468],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.09770808,"threshold_uncertainty_score":0.3268661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00895600519173353,"score_gpt":0.2536693186978696,"score_spread":0.2447133135061361,"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."}}