{"id":"W2103156190","doi":"10.1525/abt.2013.75.4.9","title":"And So It Grows: Using a Computer-Based Simulation of a Population Growth Model to Integrate Biology &amp; Mathematics","year":2013,"lang":"en","type":"article","venue":"The American Biology Teacher","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mathematics education; Simple (philosophy); Population; Population biology; Logistic function; Biology; Computer science; Mathematics; Demography; Sociology; Machine learning; Epistemology","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":[0.0008433195,0.0004920717,0.0004649546,0.0003238104,0.0009921863,0.001331963,0.001135041,0.001559972,0.00364371],"category_scores_gemma":[0.004868073,0.0003342206,0.0005753491,0.0003880028,0.0009305434,0.001446997,0.001119953,0.001373658,0.0002391281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413006,"about_ca_system_score_gemma":0.0009775846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915011,"about_ca_topic_score_gemma":0.01399057,"domain_scores_codex":[0.9998015,0.0001069293,0.000006522986,0.00002687933,0.00003270692,0.00002555773],"domain_scores_gemma":[0.9973768,0.002157496,0.00008886058,0.00009259957,0.0001371206,0.0001472091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004167352,0.0001149657,0.003057235,0.00002604467,0.00002493595,0.0002151985,0.0002897619,0.9730816,0.0008015278,0.0149031,0.001392836,0.006051146],"study_design_scores_gemma":[0.00002767941,0.00002460943,0.0002271469,0.000004338576,0.000006882576,0.00001429994,0.00005679496,0.9944072,0.0002144364,0.004226818,0.0007815033,0.00000831005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7337897,0.0002849995,0.2183468,0.003965936,0.0003280513,0.0001525611,0.000360747,0.0007542946,0.04201695],"genre_scores_gemma":[0.8792443,0.0002399704,0.1127471,0.0005142248,0.00005363053,0.0001910762,0.0002284975,0.0002329282,0.006548167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01915011,"threshold_uncertainty_score":0.03807729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587371330452709,"score_gpt":0.3421713683300919,"score_spread":0.2962976550255648,"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."}}