{"id":"W4388558068","doi":"10.1016/j.jmgm.2023.108670","title":"Understanding the contagiousness of Covid-19 strains: A geometric approach","year":2023,"lang":"en","type":"article","venue":"Journal of Molecular Graphics and Modelling","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Ball (mathematics); Pattern recognition (psychology); Computer science; Classifier (UML); Support vector machine; Histogram; Biological system; Computer vision; Geometry; Mathematics; Biology; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286521,0.0001188901,0.0002258673,0.0004906887,0.0001008505,0.00003664421,0.0002282243,0.000105214,8.448424e-7],"category_scores_gemma":[0.0001176938,0.00008853614,0.000239676,0.0007527586,0.000140595,0.000006321827,0.00007873726,0.0001737402,6.292193e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001607709,"about_ca_system_score_gemma":0.00009868493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001744605,"about_ca_topic_score_gemma":0.000002840698,"domain_scores_codex":[0.9989324,0.00008429679,0.0003759869,0.0001656448,0.0002783488,0.0001633155],"domain_scores_gemma":[0.9991468,0.00003434513,0.0003314638,0.0002227194,0.0001551846,0.0001095209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001585154,0.0001881927,0.00121785,0.0003254394,0.001303536,0.0001635469,0.0008699952,0.3238834,0.6532966,0.01591021,0.001962128,0.0007205087],"study_design_scores_gemma":[0.005534681,0.002179406,0.0002291501,0.0002422824,0.001855045,0.00113232,0.01243133,0.5375801,0.3182956,0.1094896,0.009328112,0.001702402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2709375,0.00181551,0.7269112,0.000109312,0.00001096894,0.00007303651,0.000001855232,0.000005601593,0.0001349812],"genre_scores_gemma":[0.9925854,0.005520918,0.001571931,0.0002405702,0.00003530343,0.00000240726,0.00001167784,0.00001790483,0.00001388388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7253393,"threshold_uncertainty_score":0.3610399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07603738200673005,"score_gpt":0.29618828381276,"score_spread":0.2201509018060299,"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."}}