{"id":"W2777918966","doi":"10.1107/s2053273317089938","title":"Teaching undergraduates about structure using database examples","year":2017,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations and Advances","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Database; Mathematics education; Computer science; Information retrieval; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001533293,0.0001293391,0.0001077767,0.0002079939,0.002925862,0.000624275,0.0004921718,0.00006178889,0.00001322121],"category_scores_gemma":[0.00008760581,0.0001179035,0.00003563189,0.0001373613,0.0002630584,0.002652868,0.0002024633,0.0002376055,1.063743e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001963063,"about_ca_system_score_gemma":0.00005796074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509302,"about_ca_topic_score_gemma":0.0004263004,"domain_scores_codex":[0.9991273,0.00004389826,0.0001579587,0.0003695742,0.0001315396,0.0001697124],"domain_scores_gemma":[0.9989905,0.00008959166,0.0002241724,0.0005751179,0.00006360099,0.00005697033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007516899,0.0002161354,0.03995592,0.00007459518,0.0001288334,0.000004993854,0.0004079323,0.00009471856,0.1897137,0.7197206,0.0001618348,0.04951324],"study_design_scores_gemma":[0.0006735474,0.0001337333,0.08864363,0.0001635665,0.00005841056,0.0001996042,0.0009556448,0.01208644,0.000344344,0.3847508,0.5112435,0.0007468452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693936,0.0005209894,0.2942706,0.008991202,0.0009706768,0.000191692,0.00002426513,0.0002389047,0.0008557006],"genre_scores_gemma":[0.9269762,0.0003199287,0.07242884,0.00008223516,0.00009904966,0.00001063416,0.00002200229,0.000005648775,0.00005542598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5110816,"threshold_uncertainty_score":0.9983722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843678060539627,"score_gpt":0.3310073039059749,"score_spread":0.3025705233005787,"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."}}