{"id":"W3153527235","doi":"","title":"MERCI Retrieverを用いた急性脳動脈再開通療法:当施設における初期治療成績","year":2012,"lang":"ja","type":"article","venue":"日本神経学会学術大会プログラム・抄録集","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188741,0.0007067362,0.0006151262,0.001930627,0.00325897,0.005064888,0.001379839,0.002522975,0.01597546],"category_scores_gemma":[0.00629291,0.0006139108,0.0005270464,0.001243868,0.003369343,0.005961914,0.001609645,0.001450691,0.009937197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490624,"about_ca_system_score_gemma":0.00148011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438516,"about_ca_topic_score_gemma":0.003746008,"domain_scores_codex":[0.9980276,0.0001927882,0.0001264624,0.0004754843,0.0009764132,0.0002012218],"domain_scores_gemma":[0.9965671,0.001030768,0.0003561937,0.0007575754,0.001116449,0.0001719055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007169652,0.0002857109,0.0190718,0.0007240256,0.0001333987,0.004905996,0.02241884,0.001059229,0.08475958,0.4606622,0.064318,0.3409442],"study_design_scores_gemma":[0.0001298045,0.0004672876,0.03556768,0.0004019246,0.0003641059,0.01249388,0.0164158,0.007852598,0.1805163,0.1382102,0.6071628,0.0004176187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1790756,0.003788227,0.08991355,0.01005921,0.001171913,0.0003699637,0.001241179,0.00241562,0.7119648],"genre_scores_gemma":[0.6982675,0.002443284,0.06353859,0.002545809,0.001254711,0.0002144865,0.001309376,0.0007342068,0.2296922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01597546,"threshold_uncertainty_score":0.05344331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379297587297284,"score_gpt":0.2176265930554659,"score_spread":0.2038336171824931,"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."}}