{"id":"W7082035369","doi":"10.5281/zenodo.17137451","title":"cestari-lab/genome-assembly: Genome assembly","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pipeline (software); Synteny; Genome; Sequence assembly; DNA Transposable Elements; Hybrid genome assembly; Reference genome","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":[0.001972562,0.003629518,0.002123986,0.003062782,0.001724171,0.002757607,0.006249836,0.0019376,0.1235286],"category_scores_gemma":[0.002748288,0.001665924,0.002028752,0.003356267,0.0006381061,0.001962103,0.003874715,0.00336246,0.211334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419097,"about_ca_system_score_gemma":0.002198805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004777045,"about_ca_topic_score_gemma":0.005417252,"domain_scores_codex":[0.9989676,0.0001440847,0.00007131418,0.0004161225,0.0002809414,0.0001199351],"domain_scores_gemma":[0.9989182,0.0001588134,0.0000813537,0.0004030937,0.0002858951,0.0001527504],"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":[0.0006814831,0.00006345542,0.0005234563,0.001268947,0.0001184479,0.0001934077,0.0001243981,0.001066719,0.03720314,0.005804938,0.9119909,0.0409607],"study_design_scores_gemma":[0.0002623763,0.00005892834,0.001392184,0.0001480806,0.00008095827,0.0004564702,0.00003486065,0.005475532,0.04725862,0.004006831,0.9406976,0.0001275427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003572983,0.001106744,0.179783,0.0005852906,0.0005163245,0.0004748401,0.5047319,0.268288,0.04094093],"genre_scores_gemma":[0.005096937,0.0004898139,0.08526566,0.0003612833,0.00006728069,0.0005682982,0.8377612,0.05774109,0.0126484],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1235286,"threshold_uncertainty_score":0.4132443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114151582034731,"score_gpt":0.2368441815433849,"score_spread":0.2157026657230376,"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."}}