{"id":"W2626387068","doi":"","title":"トピックス：iPS細胞の目指す方向性；血小板産生系を例に","year":2012,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001116493,0.0003769779,0.0002549187,0.0007872311,0.001876946,0.003028369,0.0004178137,0.0008869712,0.02648572],"category_scores_gemma":[0.001764036,0.000260282,0.0003365156,0.0003536381,0.003744524,0.002012023,0.001073636,0.002053473,0.008802637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276086,"about_ca_system_score_gemma":0.001683963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957176,"about_ca_topic_score_gemma":0.001340593,"domain_scores_codex":[0.9991012,0.00009407604,0.00004978011,0.0001348914,0.0004939274,0.0001261696],"domain_scores_gemma":[0.9988552,0.0002857613,0.0001095569,0.0001457417,0.0004613737,0.000142326],"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":[0.000201391,0.0001785887,0.003915656,0.000344816,0.00004824716,0.000712202,0.003011925,0.0007798137,0.02925096,0.7201446,0.02107989,0.2203319],"study_design_scores_gemma":[0.00004582267,0.0004570038,0.0118578,0.0002235834,0.00010191,0.002262404,0.004734395,0.001251791,0.1094908,0.1914325,0.6780328,0.0001091836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06203901,0.003158885,0.01686999,0.004094789,0.00119361,0.0001042823,0.000246439,0.000238909,0.9120541],"genre_scores_gemma":[0.6319495,0.004847605,0.0148257,0.002900041,0.000959716,0.000146245,0.0002609437,0.0001384753,0.3439718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02648572,"threshold_uncertainty_score":0.08860356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091177422792521,"score_gpt":0.2658835149053504,"score_spread":0.2449717406774252,"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."}}