{"id":"W6931507990","doi":"10.5281/zenodo.6677133","title":"ktmeaton/ncov-recombinant: v0.7.0 - Recursive Recombinants","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Research and Philosophical Inquiry","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Documentation; Set (abstract data type); Clade; Column (typography); Range (aeronautics); Plot (graphics)","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":[0.002966603,0.002551352,0.002327108,0.002417053,0.001932879,0.004145356,0.004515002,0.002032724,0.2455197],"category_scores_gemma":[0.01034092,0.002344416,0.002205129,0.003362062,0.0005980566,0.003949937,0.003203659,0.003409375,0.3054777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296826,"about_ca_system_score_gemma":0.002927369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134811,"about_ca_topic_score_gemma":0.01983242,"domain_scores_codex":[0.9981049,0.0002034534,0.0002252159,0.0006013794,0.0005370727,0.0003278735],"domain_scores_gemma":[0.9957873,0.001080503,0.0003119359,0.001464334,0.0009802689,0.0003756055],"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":[0.0001136148,0.00001995455,0.0009652904,0.0003233995,0.00002484287,0.00002130656,0.00005169819,0.0001258595,0.0006784041,0.0004407928,0.9944981,0.002736804],"study_design_scores_gemma":[0.0003031982,0.00004025067,0.003794566,0.0002410636,0.00004509021,0.0001042254,0.00009485451,0.0004534464,0.002559308,0.001525277,0.9907696,0.00006913691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003314843,0.00003156408,0.0008303916,0.00009356483,0.000137007,0.00005659828,0.9842238,0.01146847,0.002827304],"genre_scores_gemma":[0.0005825764,0.00003706363,0.002313821,0.0001511131,0.00002252637,0.000216895,0.9869697,0.007743887,0.001962362],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2455197,"threshold_uncertainty_score":0.8213451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07217036899711803,"score_gpt":0.2847092621060358,"score_spread":0.2125388931089177,"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."}}