{"id":"W7146117780","doi":"","title":"MATLABで作成したQEに基づく設計支援ツール (数式処理と教育 : 数学教育における数式処理システムの効果的利用に関する研究)","year":2009,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004143017,0.0009181502,0.0007616049,0.0004017102,0.001211928,0.0002936224,0.001007612,0.000792233,0.0003932474],"category_scores_gemma":[0.0003890181,0.0009776001,0.0002883387,0.0009066282,0.0008945215,0.002082396,0.0002190756,0.001428806,0.0006875083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884176,"about_ca_system_score_gemma":0.0005986542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002890348,"about_ca_topic_score_gemma":0.00008823383,"domain_scores_codex":[0.9955561,0.00009660169,0.001202131,0.001060227,0.0009467033,0.00113826],"domain_scores_gemma":[0.9972906,0.0001802563,0.0001771465,0.001651217,0.0003067288,0.0003940656],"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":[0.0002983647,0.0004545297,0.0007664824,0.0004282774,0.0004177974,0.002584276,0.0005823364,0.004710225,0.01494272,0.9392077,0.03250831,0.003098968],"study_design_scores_gemma":[0.005034077,0.001773495,0.03018866,0.003562181,0.001056122,0.005277564,0.002356814,0.009944154,0.03142685,0.05753081,0.8455749,0.006274407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2774986,0.05524351,0.01639714,0.00674607,0.03400169,0.002055366,0.005996397,0.006187044,0.5958742],"genre_scores_gemma":[0.9874513,0.001532751,0.005120619,0.0003299958,0.002657357,0.00004720171,0.00135066,0.00005209527,0.001457994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8816769,"threshold_uncertainty_score":0.9992675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161806487517861,"score_gpt":0.231945877130102,"score_spread":0.2203278122549234,"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."}}