{"id":"W28088248","doi":"10.1186/s12969-016-0131-3","title":"看護記録データベースからのテキストマイニングを用いた機能語彙の抽出(特別セッション テキストマイニングの現在)","year":2011,"lang":"en","type":"article","venue":"日本行動計量学会大会発表論文抄録集","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universities Canada","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":[0.001262878,0.0001405858,0.0001324051,0.0007658066,0.0008053727,0.0007318481,0.0002917345,0.0002285653,0.0170079],"category_scores_gemma":[0.003995476,0.0001237032,0.0002029924,0.001100675,0.0005147718,0.0004264597,0.00032851,0.0004344131,0.002955903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081011,"about_ca_system_score_gemma":0.001450705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197176,"about_ca_topic_score_gemma":0.02776782,"domain_scores_codex":[0.9990621,0.0003210622,0.000130256,0.00008297187,0.0002927414,0.0001108634],"domain_scores_gemma":[0.9980074,0.0003536414,0.0008583723,0.00007951436,0.000531068,0.00017002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003770713,0.0002756036,0.5912006,0.0005546145,0.00007383554,0.001292817,0.001489169,0.0001889332,0.003071351,0.006747882,0.04872076,0.3460073],"study_design_scores_gemma":[0.00007297692,0.0005455036,0.7460878,0.0005454634,0.0001116803,0.009512741,0.002594259,0.000681901,0.005555388,0.002319753,0.231909,0.00006358032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7611,0.009685846,0.005215397,0.007388168,0.001170546,0.0008362335,0.01194653,0.0002059307,0.2024515],"genre_scores_gemma":[0.9509432,0.004072305,0.01015221,0.001440596,0.0004119638,0.0002426996,0.003152716,0.00002615565,0.02955801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170079,"threshold_uncertainty_score":0.05689716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115294028853649,"score_gpt":0.2937294950466527,"score_spread":0.1822000921612877,"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."}}