{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008224756,0.0002751154,0.0002043866,0.0003982839,0.001303316,0.001573899,0.0002811387,0.0004045075,0.01168334],"category_scores_gemma":[0.001142479,0.0001372889,0.0003281325,0.000624492,0.0008423521,0.001024115,0.000977213,0.0004887904,0.00224349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462622,"about_ca_system_score_gemma":0.001638076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006786988,"about_ca_topic_score_gemma":0.025281,"domain_scores_codex":[0.9995178,0.0001249926,0.00003392913,0.00008580611,0.0001441099,0.00009335846],"domain_scores_gemma":[0.9989171,0.0001793377,0.0001479066,0.00008524444,0.0003572649,0.0003132021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005890713,0.001595005,0.4026184,0.001789791,0.000121128,0.001277616,0.01929807,0.0008666567,0.05382707,0.007678431,0.00797577,0.502363],"study_design_scores_gemma":[0.00005466076,0.002558852,0.8344005,0.0002540756,0.0001789427,0.0007583544,0.03631403,0.001213915,0.02042145,0.002041705,0.1016908,0.0001126903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327138,0.001303037,0.006400929,0.0007787702,0.0001244154,0.000244552,0.0002317802,0.000112751,0.05808991],"genre_scores_gemma":[0.9751662,0.0007745074,0.005738777,0.0001933798,0.00004395887,0.0001126811,0.0002430179,0.00002381134,0.01770371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168334,"threshold_uncertainty_score":0.03908467,"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."}}