{"id":"W4308702640","doi":"10.1101/2022.11.04.514296","title":"GIL: A Python package for designing custom indexing primers","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Stem Cell Network; Western Canada Research Grid; Compute Canada","keywords":"Python (programming language); Computer science; Search engine indexing; Multiplexing; Software; Index (typography); Operating system; Programming language; Information retrieval; Telecommunications","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":[0.004508673,0.002842466,0.002170878,0.001623955,0.001193587,0.003205099,0.003863683,0.001164992,0.08390107],"category_scores_gemma":[0.008836298,0.002915345,0.002370044,0.001428956,0.001224788,0.002323291,0.003856831,0.004421095,0.0710703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123972,"about_ca_system_score_gemma":0.003364076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327773,"about_ca_topic_score_gemma":0.002510247,"domain_scores_codex":[0.9974033,0.0004394542,0.000329401,0.0007129009,0.0007544114,0.0003605693],"domain_scores_gemma":[0.9972641,0.001311722,0.0003173345,0.0004818075,0.0004127269,0.0002122655],"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":[0.001474678,0.0002845838,0.004785984,0.004473325,0.0005950828,0.0007675413,0.001015576,0.009973382,0.04747314,0.0194163,0.6929231,0.2168172],"study_design_scores_gemma":[0.0006539527,0.0001890074,0.003744752,0.0005119687,0.0002324942,0.0007502629,0.0001527755,0.05781222,0.08698087,0.03995683,0.8085596,0.0004551964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002502396,0.000310154,0.3241194,0.0003195599,0.0002385825,0.0004548027,0.03972077,0.6264235,0.005910759],"genre_scores_gemma":[0.02416219,0.0006733217,0.5957668,0.001776657,0.0001520308,0.004153767,0.07529991,0.2811226,0.0168927],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08390107,"threshold_uncertainty_score":0.2806771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640086338112387,"score_gpt":0.2321505073310086,"score_spread":0.2157496439498847,"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."}}