{"id":"W594915624","doi":"","title":"埋め込み型補助人工心臓の現状 (特集 日本から革新的医療危機を!--METISの取り組みを中心に)","year":2007,"lang":"ja","type":"article","venue":"イザイ","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Geography; Computer science; World Wide Web","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006122953,0.0004042184,0.0004092205,0.0002811869,0.0001673431,0.00003757054,0.0004765045,0.0007307258,0.001519702],"category_scores_gemma":[0.00007728439,0.0004398022,0.0001678015,0.0004680753,0.0002335224,0.0002212659,0.00008348099,0.0008499081,0.001835227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009291575,"about_ca_system_score_gemma":0.00003475966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001183486,"about_ca_topic_score_gemma":0.0002693644,"domain_scores_codex":[0.9978635,0.00002882064,0.000535869,0.0004158042,0.0002270071,0.0009290172],"domain_scores_gemma":[0.998836,0.0001784612,0.000051826,0.0007200918,0.00004721866,0.0001664377],"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":[0.0002668611,0.0004253965,0.009517907,0.001103564,0.001091612,0.002173844,0.007074893,0.002487217,0.01916281,0.7467253,0.05795398,0.1520166],"study_design_scores_gemma":[0.004564744,0.001413224,0.1701117,0.000775835,0.0005721177,0.0005704293,0.01771932,0.008388808,0.03362162,0.1320094,0.6249441,0.00530873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3341851,0.01914832,0.007135217,0.0006607324,0.002951705,0.0003313553,0.0000470469,0.001619259,0.6339213],"genre_scores_gemma":[0.9920055,0.0008608275,0.002308853,0.000141706,0.0004047018,0.000007287732,0.00001781112,0.00006339814,0.004189914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6578204,"threshold_uncertainty_score":0.9998054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008405497088131769,"score_gpt":0.2171236895565797,"score_spread":0.208718192468448,"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."}}