{"id":"W4205346800","doi":"10.1103/physreve.105.014403","title":"Minimal informational requirements for fitness","year":2022,"lang":"en","type":"article","venue":"Physical review. E","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Selection (genetic algorithm); Population; Basis (linear algebra); Upper and lower bounds; Distortion (music); Value (mathematics)","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":[0.0001167915,0.00006504466,0.00009264108,0.000008306683,0.0001003666,0.000004302843,0.0001300987,0.000009936278,0.00004355215],"category_scores_gemma":[0.00006098117,0.00006378297,0.0001055048,0.00005285615,0.00002025496,0.000002196556,0.000125102,0.00003908851,0.000009604833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341206,"about_ca_system_score_gemma":0.00004398021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.447013e-7,"about_ca_topic_score_gemma":5.970215e-7,"domain_scores_codex":[0.9994664,0.00002515428,0.0001314896,0.0001223634,0.0001396342,0.0001149877],"domain_scores_gemma":[0.9997124,0.000007915251,0.00005619307,0.0001413833,0.00004468585,0.0000374444],"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":[0.000398942,0.001466471,0.001757784,0.002333437,0.0002776778,0.00000152937,0.0001735662,0.004348872,0.2994371,0.0574685,0.5743084,0.05802778],"study_design_scores_gemma":[0.000469152,0.0003321913,0.0009074832,0.00002348511,0.00002952645,0.000004809421,0.0000176175,0.007835782,0.001543996,0.001534511,0.9871241,0.0001773388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477492,0.01325425,0.01930773,0.003739189,0.0006425435,0.002140572,0.0008401385,0.00004407899,0.0122823],"genre_scores_gemma":[0.9918274,0.0008052262,0.0006391566,0.003738408,0.0002552939,0.0004169384,0.0013284,0.00001296523,0.0009762614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4128157,"threshold_uncertainty_score":0.2600994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830340016314738,"score_gpt":0.3475929330985584,"score_spread":0.329289532935411,"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."}}