{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009675956,0.0004455963,0.0002960522,0.0008892993,0.0003590577,0.002106118,0.0008000771,0.0004179247,0.02557146],"category_scores_gemma":[0.007082459,0.0004238183,0.0003438721,0.001092804,0.0005760926,0.002258982,0.001025449,0.0005850457,0.01592452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005941981,"about_ca_system_score_gemma":0.001089565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615458,"about_ca_topic_score_gemma":0.004006644,"domain_scores_codex":[0.9992772,0.0001480789,0.00008367254,0.0002305545,0.000195207,0.00006536497],"domain_scores_gemma":[0.9976815,0.001115729,0.0001636696,0.0004642692,0.0005114838,0.00006329117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001407594,0.0002664915,0.01563268,0.0007684472,0.0001363091,0.0005023911,0.001376148,0.01147435,0.01967764,0.1235214,0.2137517,0.6114849],"study_design_scores_gemma":[0.0004328685,0.0002074459,0.0117259,0.0002233503,0.0001415397,0.001014444,0.0004775802,0.184703,0.1653056,0.1175016,0.5180964,0.0001702969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05676639,0.0005024752,0.64796,0.001309665,0.0002575125,0.0003323303,0.02377231,0.1776341,0.09146525],"genre_scores_gemma":[0.3628895,0.0008036013,0.5415216,0.000711119,0.0001356882,0.0009794645,0.02510109,0.009888387,0.05796954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02557146,"threshold_uncertainty_score":0.08554506,"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."}}