{"id":"W2886465512","doi":"10.24908/pceea.v0i0.7338","title":"OPENCHEME: OPEN EDUCATIONAL RESOURCES FOR MATERIAL AND ENERGY BALANCES","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Open educational resources; Sample (material); Educational resources; Mathematics education; Variety (cybernetics); Class (philosophy); Energy (signal processing); Computer science; Multiple choice; Energy resources; Psychology; Medical education; Pedagogy; World Wide Web; Significant difference; Mathematics; Environmental economics; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002671254,0.0001035893,0.0001786138,0.0002332762,0.001021803,0.002741356,0.002564125,0.00009836252,0.00008778659],"category_scores_gemma":[0.01324812,0.00008130252,0.00005211954,0.0002483962,0.00008471281,0.001114586,0.0002196464,0.000103139,0.000004309445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004637697,"about_ca_system_score_gemma":0.001067404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631189,"about_ca_topic_score_gemma":0.007547799,"domain_scores_codex":[0.9983289,0.000009914481,0.000330213,0.0003169845,0.0007186807,0.0002953021],"domain_scores_gemma":[0.9976816,0.0002650975,0.0006551949,0.000207936,0.0009382906,0.0002518638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001554054,0.00004946038,0.3572457,0.0000636871,0.00004686112,2.661899e-8,0.001718518,0.00004046434,0.006216614,0.1244749,0.4973507,0.01277754],"study_design_scores_gemma":[0.000165423,0.00001257886,0.5735168,0.00005641176,0.000009301059,0.000001548641,0.0003974763,0.0009961979,0.002083151,0.01626836,0.406335,0.000157793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715945,0.0001179584,0.00001534373,0.08419327,0.00370799,0.0005978431,0.0001544483,0.00001771538,0.03960086],"genre_scores_gemma":[0.9682027,0.00001398508,0.0009333821,0.000276584,0.0004571605,0.0001096916,0.000003459311,0.00001091617,0.02999209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2162711,"threshold_uncertainty_score":0.9982939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952340037412326,"score_gpt":0.3531022437004087,"score_spread":0.3135788433262854,"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."}}