{"id":"W3162182643","doi":"10.1515/sem-2018-0096","title":"Semiotic hybridization in Persian poetry and Iranian music","year":2021,"lang":"en","type":"article","venue":"Semiotica","topic":"Islamic Studies and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Semiotics; Poetry; Literature; Rhyme; Linguistics; Musical; Phrase; Philosophy; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002696805,0.00005992248,0.0001187595,0.00004694357,0.0003246748,0.00002726585,0.0000589183,0.00005958073,0.000243173],"category_scores_gemma":[0.0003243656,0.00006768925,0.00002515608,0.000261642,0.0001822583,0.00005952923,0.00004003812,0.0001032781,0.00002124981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407567,"about_ca_system_score_gemma":0.0001437676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000707057,"about_ca_topic_score_gemma":0.009787072,"domain_scores_codex":[0.9992218,0.0001122666,0.0001076097,0.0001871649,0.0001483576,0.000222783],"domain_scores_gemma":[0.9997038,0.00008082449,0.00002383255,0.00009509679,0.00004607781,0.00005040353],"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":[0.00002594184,0.0003016851,0.1271113,0.0002179998,0.00007883095,0.0004963641,0.3383934,0.00003901477,0.001638274,0.4610958,0.03657612,0.03402529],"study_design_scores_gemma":[0.001385199,0.00006317077,0.2195755,0.0003083248,0.00008560063,0.00002248565,0.1453635,0.0005660505,0.0001441589,0.00663946,0.6250442,0.0008023296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934657,0.002907864,0.00005912537,0.01003266,0.0007543806,0.000144809,0.000003781682,0.00006034282,0.3925713],"genre_scores_gemma":[0.994567,0.0004517398,0.00022031,0.0005742724,0.000170796,0.000001079375,0.000002617646,0.000006972979,0.004005175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5884681,"threshold_uncertainty_score":0.5461416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777388307457909,"score_gpt":0.2593815791803211,"score_spread":0.241607696105742,"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."}}