{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009366045,0.0009902462,0.0009801771,0.0004619609,0.0004268017,0.000109393,0.0009937838,0.001520272,0.003926948],"category_scores_gemma":[0.0002377299,0.001064377,0.000413152,0.001099607,0.0004873362,0.00143369,0.000269192,0.001762641,0.005473899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734903,"about_ca_system_score_gemma":0.00009529137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698519,"about_ca_topic_score_gemma":0.00005900323,"domain_scores_codex":[0.995252,0.0001724066,0.000969337,0.0007201124,0.0005683747,0.002317819],"domain_scores_gemma":[0.997282,0.0002461123,0.0001479827,0.00159302,0.0001137269,0.0006171208],"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":[0.0004612334,0.001339424,0.03404536,0.001889435,0.002428788,0.0003406572,0.0144502,0.001359186,0.01253479,0.7414616,0.1530654,0.03662397],"study_design_scores_gemma":[0.005239693,0.001183364,0.09028625,0.0009131453,0.001431985,0.0006639066,0.01172569,0.007484395,0.02206885,0.04351122,0.8077031,0.007788376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3826808,0.09083739,0.001921767,0.001588185,0.009625127,0.001016033,0.0002720742,0.003319525,0.5087391],"genre_scores_gemma":[0.9876059,0.002540138,0.001737519,0.0002784597,0.001393028,0.00005384015,0.00007509537,0.0001869197,0.006129143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6979504,"threshold_uncertainty_score":0.9997759,"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."}}