{"id":"W7145175593","doi":"","title":"新入生オリエンテーションに組み入れた冒険教育の教育効果 --プロジェクトアドベンチャーの実践を通して--","year":2022,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Worksheet; Adventure; Process (computing); Higher education; Degree program; Program evaluation; Pilot program","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008547921,0.0005511758,0.0004329763,0.000369284,0.003575548,0.0007821577,0.002142841,0.0001061393,0.0005446802],"category_scores_gemma":[0.0003911516,0.000650721,0.0002505266,0.001543447,0.0003313039,0.001850329,0.002837231,0.001074828,0.0002647283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305506,"about_ca_system_score_gemma":0.002597018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005992317,"about_ca_topic_score_gemma":0.00001853985,"domain_scores_codex":[0.9945258,0.0001878484,0.000924988,0.001246409,0.002240325,0.0008746025],"domain_scores_gemma":[0.9967862,0.0003364907,0.0003104716,0.001663398,0.0004181012,0.0004853607],"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":[0.0000545232,0.0007180884,0.000869803,0.0001698579,0.0002001038,0.0007768279,0.001366212,0.1228307,0.002518816,0.8380532,0.03159054,0.0008513413],"study_design_scores_gemma":[0.0007651481,0.0002453413,0.002945652,0.0002227592,0.00009958388,0.001845164,0.000575571,0.05978386,0.001075517,0.001183727,0.9299634,0.001294261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08831359,0.02254657,0.5656281,0.02072993,0.2066332,0.002515882,0.007239799,0.001842572,0.08455038],"genre_scores_gemma":[0.9616426,0.0001685099,0.02721402,0.0008205739,0.003838233,0.0002647132,0.001316171,0.00006221659,0.004672951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8983729,"threshold_uncertainty_score":0.9995944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203798623998168,"score_gpt":0.2460927291811401,"score_spread":0.2257128667813233,"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."}}