{"id":"W272673899","doi":"","title":"Preparing Pre-Service Science Teachers: Can Problem-Based Learning Help?.","year":2003,"lang":"en","type":"article","venue":"","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Problem-based learning; Context (archaeology); Class (philosophy); Mathematics education; Pedagogy; Group work; Psychology; Student engagement; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003927787,0.0004010675,0.0004123071,0.0007265478,0.002287843,0.003317538,0.001233706,0.003812862,0.008517981],"category_scores_gemma":[0.01415967,0.0003323985,0.000405112,0.0003803152,0.001301955,0.002470285,0.002992805,0.003198889,0.003470856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190702,"about_ca_system_score_gemma":0.005533087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075193,"about_ca_topic_score_gemma":0.003846338,"domain_scores_codex":[0.9987111,0.0005548391,0.00007517486,0.0001032684,0.0002966389,0.0002589698],"domain_scores_gemma":[0.9931151,0.001536181,0.0008880165,0.0002320498,0.0008142221,0.003414401],"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":[0.0003017991,0.008437466,0.03837172,0.002441783,0.00002483319,0.004088109,0.1867239,0.000209512,0.00255543,0.002826126,0.1902554,0.5637639],"study_design_scores_gemma":[0.0005096548,0.003871155,0.07015118,0.002870761,0.00006440676,0.006787773,0.4506262,0.0006522308,0.003518016,0.008018224,0.4528325,0.00009790859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447283,0.0214546,0.002717565,0.1811547,0.005385255,0.00171773,0.0001582928,0.0004907087,0.04219277],"genre_scores_gemma":[0.8693624,0.01738617,0.01042682,0.03302285,0.00161501,0.001392997,0.0003782172,0.0001284018,0.06628729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008517981,"threshold_uncertainty_score":0.02849549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113520893692431,"score_gpt":0.3080515181762695,"score_spread":0.2869163092393452,"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."}}