{"id":"W2144025801","doi":"10.1046/j.1471-8286.2002.00251.x","title":"<scp>aflpop</scp>: a computer program for simulated and real population allocation, based on AFLP data","year":2002,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Population; Computer science; Amplified fragment length polymorphism; Selection (genetic algorithm); Statistics; Sample (material); Genotype; Biology; Artificial intelligence; Genetics; Mathematics; Demography","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":[0.0001150224,0.0001690345,0.0001534841,0.0000657912,0.0001421947,0.00003844508,0.0002209626,0.0002892127,0.00001568474],"category_scores_gemma":[0.0002257183,0.0001781716,0.00004909074,0.00008197885,0.00006279771,0.000006045017,0.0001273194,0.00006593595,0.000007050437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009401391,"about_ca_system_score_gemma":0.00001492079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002673717,"about_ca_topic_score_gemma":0.0000624842,"domain_scores_codex":[0.9988858,0.00008245659,0.000178107,0.0005214103,0.00009971627,0.0002324919],"domain_scores_gemma":[0.9991307,0.00008444101,0.00009486345,0.000511274,0.0001015641,0.00007721248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000262454,0.001462238,0.5649924,0.0002814358,0.0007440377,0.00005018111,0.0003903019,0.2021872,0.08618942,0.00142798,0.03473369,0.1072786],"study_design_scores_gemma":[0.003547173,0.002629288,0.4011539,0.00001775263,0.000192203,0.00001599582,0.00002191819,0.5370088,0.0114185,0.0004514361,0.04318332,0.0003597808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866406,0.00007904646,0.0117411,0.0004289092,0.0001541312,0.0006774341,0.00008845658,0.00004182018,0.0001484727],"genre_scores_gemma":[0.9813663,0.00001969327,0.01391329,0.001022019,0.00009967108,0.00001745386,0.003449737,0.00002020328,0.00009163759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3348216,"threshold_uncertainty_score":0.7265626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104886813951633,"score_gpt":0.2643245103725207,"score_spread":0.2432756422330044,"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."}}