{"id":"W2579910114","doi":"","title":"Geo-Sandbox: An Interactive Geoscience Training Tool with Analytics to Better Understand Student Problem Solving Approaches","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sandbox (software development); Learning analytics; Analytics; Training (meteorology); Computer science; Data science; Geography; Library science; Meteorology","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":[0.0005346921,0.001366192,0.000480338,0.001150392,0.0003450985,0.001312145,0.001479708,0.0007185942,0.06169107],"category_scores_gemma":[0.003402068,0.0003827475,0.0005183882,0.0006648036,0.000289325,0.002330293,0.002711273,0.001040308,0.008463347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279696,"about_ca_system_score_gemma":0.00095536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142488,"about_ca_topic_score_gemma":0.00431168,"domain_scores_codex":[0.9997664,0.00006495683,0.00001693641,0.00005057155,0.00007317984,0.00002798505],"domain_scores_gemma":[0.9978653,0.001593549,0.00006003843,0.0001748207,0.0001525234,0.0001537975],"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":[0.0008598605,0.001378273,0.007544662,0.001784362,0.00008867988,0.0005698946,0.006994494,0.01980919,0.02477023,0.01977779,0.3382119,0.5782107],"study_design_scores_gemma":[0.0005160473,0.0004575055,0.0101279,0.0008154658,0.0001186638,0.0007332762,0.002812886,0.1375611,0.0319868,0.05384125,0.760856,0.0001730779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08843546,0.0004786984,0.6075293,0.001721287,0.0005225335,0.0007989492,0.0147717,0.203585,0.08215712],"genre_scores_gemma":[0.2513304,0.0007416172,0.6654761,0.0006447004,0.0001202706,0.001560039,0.01502854,0.009383167,0.05571526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06169107,"threshold_uncertainty_score":0.2063772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.18908745927814,"score_gpt":0.3790851084686344,"score_spread":0.1899976491904943,"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."}}