{"id":"W7084918131","doi":"10.6084/m9.figshare.30286912.v1","title":"Comprehensive Global Dataset of SARS-CoV-2 Lineages and Spike Mutations for Therapeutic and Vaccine Research (734 Cities, 2019 - 2025 Q1, n=9.4 Million Approx.)","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spike (software development); Spike train; Mutation; Quarter (Canadian coin); Genomics; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008534132,0.001113889,0.00138905,0.002199927,0.0005706514,0.001516702,0.001676621,0.00139811,0.04707747],"category_scores_gemma":[0.004871798,0.0004670624,0.001430142,0.007074251,0.0002117886,0.0008917081,0.001471073,0.001347488,0.03913683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535529,"about_ca_system_score_gemma":0.003661053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05126715,"about_ca_topic_score_gemma":0.06416694,"domain_scores_codex":[0.9991274,0.0001426994,0.0001643189,0.0002492256,0.0001687918,0.0001475415],"domain_scores_gemma":[0.9975526,0.0005523385,0.0003559319,0.0002278222,0.001013556,0.0002978465],"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":[0.0001556039,0.00002096344,0.004808705,0.001039167,0.00007840406,0.00005169354,0.00002232494,0.0003550895,0.0001950369,0.0004200726,0.9870832,0.005769824],"study_design_scores_gemma":[0.0005256276,0.00006523296,0.03519624,0.001322272,0.0001698426,0.0001821424,0.0002292607,0.000884484,0.0004655101,0.001173419,0.9597355,0.00005053361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002410871,0.0001188218,0.00004382174,0.00008439091,0.00001983143,0.000007398932,0.9989285,0.00005960211,0.0004965604],"genre_scores_gemma":[0.0008487811,0.000133052,0.0001506882,0.0000786616,0.00001039658,0.00003673987,0.9984201,0.00001627651,0.0003053347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05126715,"threshold_uncertainty_score":0.1574898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08907422692893774,"score_gpt":0.3673113940695796,"score_spread":0.2782371671406419,"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."}}