{"id":"W2140670684","doi":"10.1080/10382040802148562","title":"Environmental Learning Using a Problem-Based Approach in the Field: A Case Study of a Hong Kong School","year":2008,"lang":"en","type":"article","venue":"International Research in Geographical and Environmental Education","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Problem statement; Action research; Problem-based learning; Mathematics education; Field (mathematics); Statement (logic); Set (abstract data type); Action (physics); Psychology; Field research; Medical education; Pedagogy; Computer science; Sociology; Engineering; Management science; Medicine; Mathematics; Political science; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002972284,0.0009282836,0.0009319946,0.001086058,0.01086301,0.003408056,0.002303547,0.001841418,0.003135289],"category_scores_gemma":[0.002553532,0.0007042767,0.0006406668,0.001095246,0.004155265,0.001997129,0.00285808,0.001918018,0.0006345012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006054528,"about_ca_system_score_gemma":0.005882109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07504321,"about_ca_topic_score_gemma":0.1549112,"domain_scores_codex":[0.9977024,0.001167318,0.00008166572,0.0002297136,0.0001800632,0.0006387648],"domain_scores_gemma":[0.9972798,0.0006856801,0.000215504,0.000181933,0.0003026512,0.001334367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002706281,0.00818606,0.07375526,0.0004959962,0.00006292919,0.04485421,0.833163,0.001851055,0.003491908,0.002826399,0.001616353,0.02942615],"study_design_scores_gemma":[0.0000742515,0.001881815,0.03163024,0.0001712595,0.00005452774,0.002761646,0.9434535,0.001655207,0.001703285,0.000433811,0.01611814,0.00006229746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966118,0.0000794009,0.0004844154,0.000283984,0.00001039166,0.0001057784,0.00001157766,0.000006208616,0.002406465],"genre_scores_gemma":[0.9929358,0.0003012315,0.001719379,0.0001495907,0.000009164575,0.00006234497,0.00002084749,0.00001148655,0.004790245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07504321,"threshold_uncertainty_score":0.1492128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547819321217475,"score_gpt":0.3516136763560497,"score_spread":0.316135483143875,"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."}}