{"id":"W4398216657","doi":"10.17504/protocols.io.n2bvj8oowgk5/v3","title":"HTTM : Illumina library preparation v2","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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":[0.002560788,0.004694935,0.004169286,0.00398766,0.001967062,0.003067967,0.004038258,0.001866355,0.1002106],"category_scores_gemma":[0.004988874,0.003781401,0.002883715,0.004533865,0.001063021,0.001338473,0.002574449,0.007029447,0.1566512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059054,"about_ca_system_score_gemma":0.001602576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457787,"about_ca_topic_score_gemma":0.005783794,"domain_scores_codex":[0.9971104,0.0006692481,0.0002557605,0.001002652,0.0006213168,0.0003405822],"domain_scores_gemma":[0.9987062,0.0003563515,0.00007179011,0.0005798123,0.0001768523,0.000109005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001223383,0.0002185128,0.0008758469,0.005414613,0.0008131025,0.0004482358,0.0006605111,0.002513783,0.238184,0.00978463,0.6495058,0.09035763],"study_design_scores_gemma":[0.0003216298,0.0001920782,0.001779413,0.0002738343,0.0003237017,0.0007001699,0.00005786409,0.003412016,0.1055349,0.008900296,0.8782557,0.0002482788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004723053,0.003746166,0.4699802,0.0004281064,0.0009026888,0.002852844,0.3836086,0.1121268,0.02163144],"genre_scores_gemma":[0.007149884,0.001561012,0.392465,0.001226606,0.0002684274,0.006539844,0.5204377,0.04632337,0.0240283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1002106,"threshold_uncertainty_score":0.335238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007586407666384089,"score_gpt":0.2482710514717274,"score_spread":0.2406846438053433,"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."}}