{"id":"W23601965","doi":"10.1016/j.ultras.2013.03.007","title":"受け入れ~治療開始 (特集 時系列・シーン別でわかる! rt-PA治療と看護)","year":2012,"lang":"en","type":"article","venue":"Brain nursing","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009252412,0.0002967539,0.0002973461,0.0006899583,0.0002189181,0.0003735251,0.00051905,0.0004482788,0.002256473],"category_scores_gemma":[0.001783298,0.0003198271,0.0001644739,0.0005343961,0.0004660575,0.0008633705,0.000247248,0.0005801509,0.001472856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355606,"about_ca_system_score_gemma":0.0002705532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005552441,"about_ca_topic_score_gemma":0.001020664,"domain_scores_codex":[0.9995968,0.0000602279,0.0000170571,0.0001148048,0.0001792295,0.00003198268],"domain_scores_gemma":[0.9992104,0.0002813945,0.0001713481,0.000119724,0.0001969286,0.00002014569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001277096,0.00006525664,0.004340116,0.0001293931,0.00001744388,0.0001307767,0.000170269,0.002880416,0.8694753,0.0007783778,0.0006011979,0.1212838],"study_design_scores_gemma":[0.000008442219,0.0003695003,0.01095065,0.00001609743,0.00002000953,0.000590237,0.0001080092,0.04022921,0.9418306,0.0004067759,0.005424871,0.00004563341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3680087,0.0007864084,0.62305,0.0003542368,0.0001134205,0.0001299705,0.0003204835,0.002759503,0.004477241],"genre_scores_gemma":[0.7347713,0.0006921345,0.2584854,0.00009910819,0.00004095573,0.0001492403,0.0002484169,0.0002657527,0.005247666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002256473,"threshold_uncertainty_score":0.00754869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227411917931416,"score_gpt":0.2644751757705924,"score_spread":0.2522010565912783,"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."}}