{"id":"W1488126937","doi":"","title":"テッド・ヒューズ--シャーマン詩人の役割","year":2011,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0002854054,0.0006304923,0.0005084311,0.0002644391,0.0008567076,0.00009763592,0.0008106123,0.0005773723,0.0007758827],"category_scores_gemma":[0.0002796481,0.0006645722,0.0002076836,0.0005468057,0.001261815,0.001603419,0.000339334,0.0009938363,0.0007252658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289842,"about_ca_system_score_gemma":0.0004384839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159366,"about_ca_topic_score_gemma":0.0003386562,"domain_scores_codex":[0.9969489,0.00007404532,0.0008505111,0.0007876625,0.0005663143,0.0007725975],"domain_scores_gemma":[0.9979012,0.0001155732,0.0001240859,0.001362702,0.0002217361,0.0002746866],"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":[0.0002281195,0.0003259932,0.004706421,0.0004460498,0.0005192265,0.001937398,0.001291993,0.0003612021,0.004249454,0.9766656,0.008606222,0.0006623669],"study_design_scores_gemma":[0.00523731,0.001445969,0.07829205,0.003910567,0.001536277,0.004870608,0.006181354,0.00523049,0.09794936,0.05738604,0.7303224,0.007637611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2390693,0.01897848,0.01017675,0.0003107626,0.02098593,0.0008361575,0.002713295,0.002407776,0.7045215],"genre_scores_gemma":[0.9879788,0.0009945845,0.00802068,0.00007001912,0.001229941,0.00007723184,0.0005459452,0.0000528025,0.001029999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9192795,"threshold_uncertainty_score":0.9995806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647698086983085,"score_gpt":0.2255077783733149,"score_spread":0.199030797503484,"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."}}