{"id":"W4200068800","doi":"10.3233/isb-210233","title":"Lattice-based Monte Carlo simulation of the effects of nutrient concentration and magnetic field exposure on yeast colony growth and morphology","year":2021,"lang":"en","type":"article","venue":"In Silico Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta","keywords":"Yeast; Monte Carlo method; Biology; Biological system; Ploidy; Mathematics; Genetics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006113157,0.00006900928,0.0001211904,0.00001745161,0.0000181429,0.000002837379,0.00005881049,0.0001551904,0.000003993046],"category_scores_gemma":[0.0003601838,0.00005372653,0.00002519452,0.00007429364,0.0001504775,9.728257e-7,0.00006686239,0.00007012309,1.623492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003709493,"about_ca_system_score_gemma":0.00004806772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003778032,"about_ca_topic_score_gemma":0.00004496087,"domain_scores_codex":[0.9993227,0.0001831961,0.0001420251,0.0001898515,0.00004980381,0.0001124304],"domain_scores_gemma":[0.999538,0.000170395,0.0000484293,0.0001461621,0.00007153038,0.00002545614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001526502,0.0000622677,0.1156352,0.00008268232,0.000007480085,0.000002306365,0.00004180435,0.0004906773,0.8825918,0.0001093608,0.000009574108,0.0008142312],"study_design_scores_gemma":[0.0009511551,0.001769604,0.06963244,0.0000285986,0.000008101654,0.000003245024,0.00001784321,0.00131739,0.9260446,0.00008678812,0.00008699195,0.00005318463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969492,0.00245929,0.00002766618,0.0002237175,0.00008474086,0.0001798638,0.00001399867,0.000001137266,0.00006040042],"genre_scores_gemma":[0.999496,0.0002225173,0.00003106874,0.0001787068,0.00002211962,0.00001090216,0.000009103966,0.000004246785,0.00002533256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04600275,"threshold_uncertainty_score":0.2190904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006980149654771075,"score_gpt":0.2538252261888581,"score_spread":0.246845076534087,"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."}}