{"id":"W2205937100","doi":"","title":"피에르 레비의 IEML 이론 소개와 분석","year":2009,"lang":"ko","type":"article","venue":"한국프랑스학논집","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":[0.004158044,0.0007586672,0.0005961503,0.001994602,0.001442246,0.01095329,0.001786326,0.002311287,0.01003021],"category_scores_gemma":[0.009058157,0.00071886,0.001134426,0.002717599,0.005191668,0.008404815,0.002964077,0.003958038,0.006196753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003436748,"about_ca_system_score_gemma":0.005027393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411073,"about_ca_topic_score_gemma":0.007466574,"domain_scores_codex":[0.9954999,0.001683685,0.0005101493,0.000698231,0.001334753,0.0002733063],"domain_scores_gemma":[0.9944043,0.00266007,0.0003503406,0.001103219,0.00132658,0.0001555218],"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":[0.0001542966,0.00003205859,0.0007992336,0.0005733926,0.00003498794,0.0003021346,0.003402345,0.003272041,0.005714056,0.8104032,0.03538381,0.1399285],"study_design_scores_gemma":[0.00002412962,0.00004451528,0.000636595,0.0003199108,0.00003306215,0.000374161,0.0007872404,0.009190226,0.009134357,0.08774041,0.8916504,0.00006496879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00867078,0.004026975,0.8448876,0.01391738,0.001587363,0.0003676581,0.003305583,0.008947122,0.1142896],"genre_scores_gemma":[0.2164174,0.008845489,0.6588941,0.005851814,0.001247802,0.0008991938,0.008260277,0.003297494,0.09628633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01411073,"threshold_uncertainty_score":0.03355438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036349177394399,"score_gpt":0.2734734304781434,"score_spread":0.2431099387041994,"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."}}