{"id":"W7144696820","doi":"","title":"Reports on the Experience of Exchange Program at University of Northern British Columbia in 2016","year":2018,"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":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003562661,0.0001347803,0.0002163179,0.00005452607,0.0005094371,0.0001538901,0.0005874635,0.00007708738,0.0001075582],"category_scores_gemma":[0.0003063272,0.0001707074,0.00007572029,0.00057136,0.0009972613,0.0005046476,0.0005388256,0.0001534961,0.00001122779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105038,"about_ca_system_score_gemma":0.000721255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04987267,"about_ca_topic_score_gemma":0.06661084,"domain_scores_codex":[0.9980821,0.00005483078,0.0004535396,0.0004827248,0.0006576114,0.0002692135],"domain_scores_gemma":[0.9980896,0.0001627225,0.0003217073,0.0007626285,0.0005591349,0.0001042383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004735947,0.009891587,0.7145178,0.002039296,0.0006455283,0.007557917,0.06355902,0.009015301,0.01801687,0.08102795,0.07075797,0.0224972],"study_design_scores_gemma":[0.00138969,0.001562247,0.5783026,0.009388461,0.000108398,0.002124325,0.00315721,0.01903394,0.008525719,0.0005785264,0.374063,0.001765813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908345,0.0004531894,0.001851187,0.00020695,0.003393179,0.0003900224,0.0001712861,0.00003449552,0.002665195],"genre_scores_gemma":[0.9947219,0.000115192,0.003430144,0.00002226411,0.0003576494,0.00001039459,0.00005668835,0.000008213842,0.00127749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033051,"threshold_uncertainty_score":0.9564543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712895997378897,"score_gpt":0.2318054143181386,"score_spread":0.2146764543443496,"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."}}