{"id":"W2905073202","doi":"10.5206/tips.v8i1.6219","title":"Using Problem-Based Learning (PBL) to Teach Geographic Information Science","year":2018,"lang":"en","type":"article","venue":"Teaching Innovation Projects","topic":"Geography and Education Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Problem-based learning; Geographic information system; Curiosity; Visualization; Field (mathematics); Process (computing); Data science; Management science; Mathematics education; Knowledge management; Artificial intelligence; Engineering; Psychology; Mathematics; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01264572,0.0001269177,0.000108541,0.00270627,0.004182518,0.0004759934,0.000369807,0.00008832601,0.00005272794],"category_scores_gemma":[0.004056103,0.0001327805,0.00003160592,0.008249249,0.0005456802,0.002148608,0.00005153228,0.0004208662,0.00004470083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743313,"about_ca_system_score_gemma":0.001263532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182219,"about_ca_topic_score_gemma":0.00005060139,"domain_scores_codex":[0.9976155,0.0004285525,0.0004104021,0.0002725743,0.0007671878,0.000505779],"domain_scores_gemma":[0.9980189,0.00007884902,0.0002824312,0.0001993463,0.001321653,0.00009879725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004268842,0.0001712119,0.213728,0.0000654637,0.00001759647,2.672264e-7,0.1663772,0.001868502,0.01589417,0.4654926,0.0008326845,0.1355096],"study_design_scores_gemma":[0.001081351,0.000747111,0.1013483,0.000421003,0.00005017061,0.00000444935,0.04796649,0.01100156,0.007140554,0.00842233,0.820284,0.001532633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311813,0.000002767082,0.1202065,0.001349112,0.0006626687,0.0006385029,8.342867e-7,0.0003448026,0.04561346],"genre_scores_gemma":[0.8124074,4.520071e-7,0.1860088,0.001171791,0.0002659059,0.00003118955,0.00000951002,0.000007269836,0.00009773538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8194513,"threshold_uncertainty_score":0.9971139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0775205175586133,"score_gpt":0.4120725203013582,"score_spread":0.3345520027427449,"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."}}