{"id":"W3043533846","doi":"","title":"哲学的フィクション論を用いた文学研究 : ジャン=マリー・シェフェール、ケンダル・ウォルトン、ステファヌ・マラルメ","year":2020,"lang":"ja","type":"article","venue":"Études françaises","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003053578,0.0004635896,0.000245289,0.001442829,0.00716468,0.01047655,0.0004917816,0.002276761,0.009298326],"category_scores_gemma":[0.003556912,0.0002085617,0.0002621431,0.002271024,0.01796469,0.005070295,0.00169816,0.001993867,0.0008228563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143388,"about_ca_system_score_gemma":0.01043341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1471764,"about_ca_topic_score_gemma":0.1392135,"domain_scores_codex":[0.9969714,0.00147622,0.00009620348,0.0003071631,0.0005719569,0.000577167],"domain_scores_gemma":[0.9971623,0.001392457,0.0003459418,0.0001715802,0.0006301014,0.0002976096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001252082,0.00001226431,0.001169893,0.00003431362,0.000006396041,0.00005779502,0.01525111,0.00008854042,0.00009922292,0.9726241,0.003129068,0.00751468],"study_design_scores_gemma":[0.00003000953,0.00005452099,0.01416301,0.0004567722,0.00003045753,0.0004319645,0.06773239,0.0003873973,0.0004619718,0.390342,0.5258457,0.00006379563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09891925,0.009798858,0.005921695,0.04089445,0.0005520135,0.00003560216,0.0001657363,0.00003394575,0.8436784],"genre_scores_gemma":[0.9553328,0.002071264,0.00137229,0.00134692,0.0001602998,0.00003558743,0.0000308681,0.00002157857,0.03962839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1471764,"threshold_uncertainty_score":0.2926395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708594881370743,"score_gpt":0.2128257526938839,"score_spread":0.1957398038801765,"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."}}