{"id":"W37129093","doi":"10.1017/s1368980023000903","title":"4B1 特別支援教育における電子掲示板を利用した情報リテラシー育成とネットワークを利用した卒業生へのアフターケアーの試行 (2)(特別支援教育と教育情報 (3), 日本教育情報学会第21回年会)","year":2005,"lang":"ja","type":"article","venue":"年会論文集","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001252915,0.000328136,0.0002758768,0.0007506665,0.0007473308,0.001278486,0.0004626967,0.0005846931,0.02499364],"category_scores_gemma":[0.001810576,0.0002190693,0.0005500459,0.0005946581,0.0006680383,0.0003880739,0.0003300429,0.001145541,0.002213968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047953,"about_ca_system_score_gemma":0.0006081281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008634515,"about_ca_topic_score_gemma":0.005239401,"domain_scores_codex":[0.9995078,0.0001435022,0.00003062143,0.0001085435,0.00009123614,0.0001182798],"domain_scores_gemma":[0.998449,0.0003840812,0.0005853788,0.00008683943,0.0002570052,0.0002377891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002897258,0.0007546037,0.8753587,0.0003854569,0.0006356303,0.0005185836,0.0004362816,0.0003759666,0.02413967,0.003593938,0.005310543,0.08559335],"study_design_scores_gemma":[0.0001951416,0.001053252,0.9444931,0.0002228264,0.0003556834,0.002101947,0.001093953,0.0007027606,0.01565779,0.004218026,0.02986004,0.00004555385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530355,0.006316172,0.001552723,0.003844938,0.0002671671,0.00006758664,0.002225077,0.00005347053,0.03263723],"genre_scores_gemma":[0.9864247,0.00113509,0.001546861,0.0006488806,0.0001288045,0.00005846401,0.001438058,0.00001842522,0.008600696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02499364,"threshold_uncertainty_score":0.08361202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976936577429924,"score_gpt":0.271387580589169,"score_spread":0.2516182148148698,"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."}}