{"id":"W2962678487","doi":"10.1016/j.tpb.2019.07.003","title":"Shigesada et al. (1986) and population spread in heterogeneous environments","year":2019,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Population; Population biology; Geography; Biology; Demography; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526222,0.0007056574,0.001128782,0.001626412,0.001302441,0.001925821,0.001229788,0.002610106,0.009065397],"category_scores_gemma":[0.01586512,0.0003362526,0.001020448,0.001907433,0.002698791,0.004174607,0.002284921,0.002297201,0.00119998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081725,"about_ca_system_score_gemma":0.0008371486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002798978,"about_ca_topic_score_gemma":0.002820757,"domain_scores_codex":[0.9992083,0.0002478144,0.00003558426,0.0002358774,0.0001658967,0.0001065118],"domain_scores_gemma":[0.9961475,0.00219031,0.0004410708,0.0003710633,0.0005631252,0.0002869395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001405854,0.00007324663,0.01342361,0.0002290382,0.0001695496,0.0003304705,0.001252186,0.02798398,0.001285008,0.8852674,0.006345216,0.06349979],"study_design_scores_gemma":[0.00006015513,0.00007319779,0.008310181,0.00006927684,0.0001073711,0.0006808066,0.0005233598,0.05703887,0.0005360618,0.9184259,0.01412905,0.00004579234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2894923,0.0201994,0.5893747,0.0224788,0.002168075,0.0002403918,0.0005723585,0.0001157923,0.07535823],"genre_scores_gemma":[0.9248152,0.009241388,0.02932407,0.001352549,0.001031543,0.0001746845,0.0002723299,0.00005368353,0.03373451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009065397,"threshold_uncertainty_score":0.03032672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575698734700357,"score_gpt":0.3021151127225063,"score_spread":0.2863581253755027,"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."}}