{"id":"W2025633662","doi":"10.3138/jvme.30.3.254","title":"Search for the Woolly Mammoth: A Case Study in Inquiry-Based Learning","year":2003,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Active learning (machine learning); Curriculum; Mathematics education; Style (visual arts); Cooperative learning; Teaching method; Psychology; Pedagogy; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957994,0.00006849948,0.0001165987,0.00004907102,0.000230316,0.00003526998,0.0001603556,0.00003993952,0.0003021844],"category_scores_gemma":[0.001833906,0.00002513002,0.00005310425,0.0004631444,0.00006374726,0.0001032611,0.00001833202,0.0002445263,0.000002833951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007501498,"about_ca_system_score_gemma":0.0004506665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205367,"about_ca_topic_score_gemma":0.00007217754,"domain_scores_codex":[0.9988419,0.0002255488,0.0003337515,0.00009570251,0.0003746494,0.0001284354],"domain_scores_gemma":[0.9984268,0.0009708639,0.0001412378,0.00003245935,0.0003548008,0.00007386854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006160529,0.01367948,0.4522266,0.00007429921,0.0002008169,0.0009461717,0.01718432,0.000681023,0.003939362,0.002302015,0.01123821,0.4969116],"study_design_scores_gemma":[0.001838434,0.008179625,0.4430588,0.0002081516,0.0000739066,0.006183033,0.3533708,0.0003577475,0.0001070824,0.0002064301,0.1860968,0.000319161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992956,0.0001683088,0.00005182875,0.005599196,0.0008893831,0.0002588285,6.83562e-7,0.000003841021,0.00007188328],"genre_scores_gemma":[0.9987631,0.00001503133,0.0003716504,0.0003304547,0.0003981325,0.00004107262,0.000002466675,8.581421e-7,0.00007723238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4965925,"threshold_uncertainty_score":0.3308708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422480240627903,"score_gpt":0.4221179664160288,"score_spread":0.1798699423532385,"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."}}