{"id":"W1976098103","doi":"10.1007/s10956-015-9564-6","title":"Cycles of Exploration, Reflection, and Consolidation in Model-Based Learning of Genetics","year":2015,"lang":"en","type":"article","venue":"Journal of Science Education and Technology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Education, Nanyang Technological University; Nanyang Technological University","keywords":"Science education; Consolidation (business); Mathematics education; Reflection (computer programming); Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000675055,0.00003718662,0.00008441808,0.0004681085,0.00002711909,0.000008497276,0.0001056513,0.00006670024,5.907336e-7],"category_scores_gemma":[0.0008068409,0.00003190626,0.000008455597,0.0003519428,0.0009094288,0.0000155084,0.0000365433,0.00007626723,9.187903e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001281094,"about_ca_system_score_gemma":0.001265843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002685708,"about_ca_topic_score_gemma":0.000006042801,"domain_scores_codex":[0.9993873,0.0000149678,0.0002821238,0.00006943563,0.0001694889,0.00007670498],"domain_scores_gemma":[0.9988236,0.00000666809,0.0002277853,0.00006754714,0.0008099112,0.00006446632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005719582,0.000224945,0.05663827,0.00006154922,0.000007212434,2.003042e-7,0.0008433162,0.001639768,0.8617542,0.0009295568,0.0002798351,0.07756397],"study_design_scores_gemma":[0.0008192805,0.001414142,0.00427983,0.00006708242,0.000009671253,0.0000428882,0.008297583,0.02059533,0.9554496,0.006869499,0.002055768,0.00009935897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909594,0.0005895728,0.007421484,0.0008082474,0.0000774738,0.00004369674,4.149479e-7,0.000001140637,0.0000985857],"genre_scores_gemma":[0.9899764,0.0005116304,0.009442464,0.00002716272,0.00001823556,0.00000102571,0.00000144647,0.000001723763,0.00001990283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09369539,"threshold_uncertainty_score":0.3350828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781848301456477,"score_gpt":0.3520266507903966,"score_spread":0.3142081677758319,"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."}}