{"id":"W2742702974","doi":"","title":"〈特別寄稿〉エッセイ～泌尿器科診療モノ語り～古い話 タムスロシンとの出会い","year":2014,"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":[0.001993384,0.0003126945,0.0002785308,0.0007525331,0.002790701,0.004298409,0.0005900456,0.001619235,0.01447855],"category_scores_gemma":[0.003483285,0.0002820077,0.000253124,0.0005890636,0.007777941,0.004160854,0.001749613,0.00244508,0.003484078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390343,"about_ca_system_score_gemma":0.003210701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192876,"about_ca_topic_score_gemma":0.00258095,"domain_scores_codex":[0.9981489,0.0005277568,0.0001036555,0.0002911175,0.0007168203,0.0002117755],"domain_scores_gemma":[0.9986503,0.0002696298,0.0001243589,0.0002000471,0.0006274579,0.0001281262],"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":[0.000002590811,0.000005053364,0.00005470421,0.00001595732,0.000003061848,0.00002489627,0.000475563,0.00005670508,0.0003488154,0.9921265,0.003170793,0.003715361],"study_design_scores_gemma":[0.000005940344,0.00002417269,0.0003710722,0.00004245253,0.000007532135,0.0001788785,0.001021393,0.0002839126,0.001661666,0.7627921,0.2335873,0.00002351633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01618239,0.001774764,0.05269479,0.01934074,0.001995897,0.00009264605,0.0001038062,0.0001837435,0.9076311],"genre_scores_gemma":[0.7026555,0.002270702,0.03600774,0.00750762,0.001018027,0.0002304324,0.0001271911,0.0002129919,0.2499697],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01447855,"threshold_uncertainty_score":0.04843551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336018377594647,"score_gpt":0.2487507868395274,"score_spread":0.2353906030635809,"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."}}