{"id":"W2933183369","doi":"10.55016/ojs/pplt.v3y2019.53136","title":"Inquiry-Based Learning (IBL) as a Driver of Curriculum: A Staged Approach","year":2019,"lang":"en","type":"article","venue":"Papers on postsecondary learning and teaching.","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Curriculum; Mathematics education; Inquiry-based learning; Computer science; Psychology; Pedagogy; Engineering","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":[0.01060823,0.000452875,0.000432996,0.002291326,0.003743789,0.01003168,0.002572284,0.001797914,0.003128124],"category_scores_gemma":[0.01256896,0.0004453462,0.0004422161,0.00130553,0.007840343,0.005027149,0.00795143,0.003292438,0.0007757986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008752704,"about_ca_system_score_gemma":0.02081387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714407,"about_ca_topic_score_gemma":0.005544582,"domain_scores_codex":[0.9923699,0.005117236,0.0002912761,0.0006712663,0.001031963,0.0005184226],"domain_scores_gemma":[0.9877936,0.005426933,0.0008898861,0.0008082004,0.002402255,0.002679038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001153636,0.001271586,0.01572848,0.001121923,0.00002528128,0.000405495,0.1377623,0.002236746,0.007797988,0.2996495,0.0118867,0.5219987],"study_design_scores_gemma":[0.000137932,0.001253812,0.02006273,0.003016921,0.00006317269,0.0008122349,0.1729771,0.01665884,0.01282271,0.3787287,0.393272,0.0001938787],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2415266,0.003075442,0.5431034,0.04518178,0.0006304171,0.003259215,0.0001650765,0.001137082,0.161921],"genre_scores_gemma":[0.6731039,0.001264447,0.2966822,0.001923281,0.00008080604,0.001936082,0.00009359802,0.0001814724,0.02473422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060823,"threshold_uncertainty_score":0.06350559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121766446467127,"score_gpt":0.2983446320282439,"score_spread":0.2871269675635726,"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."}}