{"id":"W2963075190","doi":"10.1016/j.camwa.2016.05.017","title":"Competitive–cooperative models with various diffusion strategies","year":2016,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Diffusion; Mathematical optimization; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003821228,0.002053358,0.002234092,0.002044332,0.001539935,0.004080718,0.00587787,0.006569392,0.006472989],"category_scores_gemma":[0.01492988,0.0008572013,0.00195751,0.001653376,0.004031258,0.005703689,0.00267914,0.002411413,0.001437935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035106,"about_ca_system_score_gemma":0.001287093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005942471,"about_ca_topic_score_gemma":0.00335849,"domain_scores_codex":[0.9976248,0.001067132,0.0001163642,0.0003525443,0.0004159616,0.0004231502],"domain_scores_gemma":[0.9909762,0.005731813,0.0009520816,0.0006113925,0.0009790651,0.0007494935],"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":[0.0001453795,0.0001395285,0.000831173,0.000155361,0.0001031186,0.0004705114,0.0003654524,0.1920882,0.001541209,0.7950474,0.00254738,0.006565361],"study_design_scores_gemma":[0.0001295603,0.00009480536,0.0003473564,0.00002125586,0.00009357484,0.0001872578,0.0001443165,0.7862551,0.000248303,0.2106816,0.001731392,0.00006543275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2897285,0.002983334,0.6392552,0.007655079,0.0005133937,0.0003466753,0.0006093056,0.0004217994,0.05848676],"genre_scores_gemma":[0.9464201,0.00121778,0.01797292,0.0004628692,0.0003034245,0.0002612417,0.0001550453,0.00003843435,0.03316821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006569392,"threshold_uncertainty_score":0.02165425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911566723451632,"score_gpt":0.2638134202642201,"score_spread":0.2446977530297038,"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."}}