{"id":"W2668858081","doi":"","title":"Does Introducing more User-friendly Software Produce better Integrated Learning in an Undergraduate Course on Climate Modelling?","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Course (navigation); Software; Computer science; Software engineering; Human–computer interaction; Engineering management; Engineering; Programming language","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":[0.01046328,0.0008334785,0.0008052894,0.000803876,0.0007231864,0.006186306,0.002293949,0.002221873,0.0187918],"category_scores_gemma":[0.07725184,0.0005726644,0.001307003,0.001206803,0.0004929812,0.005592719,0.002411971,0.002028673,0.00704801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170704,"about_ca_system_score_gemma":0.004047491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959632,"about_ca_topic_score_gemma":0.005576558,"domain_scores_codex":[0.9946403,0.002269535,0.0003810486,0.0007701167,0.001242888,0.0006961095],"domain_scores_gemma":[0.9447042,0.03121986,0.004051506,0.004520219,0.007959297,0.007544944],"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":[0.002705166,0.01620409,0.1528241,0.0007355508,0.0002283633,0.0005852718,0.009398221,0.005330754,0.0172806,0.003515984,0.03409853,0.7570934],"study_design_scores_gemma":[0.003384829,0.0132861,0.5195433,0.002085123,0.001321177,0.00167315,0.02535918,0.1181845,0.0912035,0.03755084,0.1854268,0.0009815292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242804,0.0001943399,0.03900252,0.009964493,0.0006402421,0.0002753778,0.0004022241,0.00508479,0.02015547],"genre_scores_gemma":[0.818589,0.0004809918,0.1614592,0.003613139,0.0002087551,0.0004273659,0.001489336,0.002678922,0.01105325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187918,"threshold_uncertainty_score":0.06286484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07038700911895449,"score_gpt":0.3543298382452218,"score_spread":0.2839428291262673,"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."}}