{"id":"W7083181347","doi":"10.29173/css269","title":"Engaging Students in Problem Solving using a WebQuest","year":2001,"lang":"en","type":"article","venue":"Canadian Social Studies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"WebQuest; The Internet; Set (abstract data type); Social studies; Teaching method; Educational technology; Technological literacy","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":[0.0003701806,0.0001102937,0.0001727234,0.00009208079,0.0006467671,0.00009324482,0.0004573847,0.00005251643,0.000007238632],"category_scores_gemma":[0.0001128928,0.0001198221,0.00003156628,0.0004297252,0.00006567723,0.0001596523,0.0002003336,0.0001569639,0.000006750623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139125,"about_ca_system_score_gemma":0.0001561345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01736979,"about_ca_topic_score_gemma":0.1121226,"domain_scores_codex":[0.998913,0.00005244558,0.0001578218,0.0002515746,0.000141765,0.0004833971],"domain_scores_gemma":[0.9996173,0.00003701793,0.00004574455,0.0001061351,0.00009099337,0.0001027586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003414547,0.00006177939,0.8692263,0.0001187474,0.0001796244,0.001234181,0.08950212,0.0003216919,0.0004461569,0.01181914,0.005796687,0.02129013],"study_design_scores_gemma":[0.002930899,0.00009580811,0.2957874,0.0009781405,0.0000667573,0.0002007649,0.09358689,0.008760002,0.0004017326,0.06267096,0.5313837,0.003136983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006538,0.002182708,0.001218868,0.01552754,0.0005653673,0.0003822125,0.000002792592,0.0001615548,0.07930512],"genre_scores_gemma":[0.9974539,0.0000445119,0.001371702,0.0004333962,0.0001399611,0.000009749872,5.005917e-7,0.000002399755,0.000543821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5734389,"threshold_uncertainty_score":0.9891737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05579893865272816,"score_gpt":0.3040764268643354,"score_spread":0.2482774882116072,"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."}}