{"id":"W3153230321","doi":"","title":"Development of Disciplined Interpretation Using Computational Modeling in the Elementary Science Classroom","year":2016,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Interpretation (philosophy); Salient; Subjectivity; Computer science; Computational model; Mathematics education; Development (topology); Epistemology; Scientific modelling; Cognitive science; Management science; Artificial intelligence; Psychology; Mathematics; Engineering","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":[0.007618087,0.0003940909,0.0006090605,0.001505314,0.002458442,0.006533422,0.001230958,0.001412145,0.001310861],"category_scores_gemma":[0.02057724,0.0006829125,0.0005159865,0.0007284026,0.009041552,0.003675974,0.006394289,0.005005706,0.0002628464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613427,"about_ca_system_score_gemma":0.004359964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231417,"about_ca_topic_score_gemma":0.004499618,"domain_scores_codex":[0.9930656,0.00344251,0.0002898391,0.0007999124,0.001881709,0.0005204948],"domain_scores_gemma":[0.9810269,0.01088662,0.002773615,0.002357936,0.001833828,0.001121034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000395415,0.000536284,0.06338607,0.0001683848,0.00002420096,0.001346094,0.7642095,0.001099608,0.01581056,0.08594983,0.000633155,0.06679671],"study_design_scores_gemma":[0.00006127157,0.0006866412,0.110548,0.0009556056,0.000090546,0.00393886,0.5702236,0.01182752,0.02107218,0.1951021,0.08523743,0.0002562213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552312,0.0002118832,0.01783558,0.0009959,0.00001644623,0.00004414768,0.00001418088,0.00008217425,0.0255686],"genre_scores_gemma":[0.9926645,0.0001207114,0.006361959,0.00005995922,0.000002176583,0.000026137,0.000009325195,0.0000176367,0.0007376327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007618087,"threshold_uncertainty_score":0.04028875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2316637601666457,"score_gpt":0.3096779138051098,"score_spread":0.07801415363846406,"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."}}