{"id":"W2968982058","doi":"","title":"Selection of Poems","year":2019,"lang":"en","type":"article","venue":"Revue CMC","topic":"Poetry Analysis and Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Poetry; Computer science; Art; Artificial intelligence; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005042947,0.00003444382,0.00009748719,0.00003395077,0.00003277617,0.00001727876,0.00004200777,0.00001435322,0.00639242],"category_scores_gemma":[0.000005676326,0.00003036337,0.00005985553,0.00002234884,0.00002147518,0.00006341776,0.00000640044,0.00003561097,0.0003195416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006331574,"about_ca_system_score_gemma":0.000005000979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004637933,"about_ca_topic_score_gemma":0.00006694852,"domain_scores_codex":[0.9997247,0.000009648013,0.00009452911,0.00006461032,0.00004224617,0.00006429075],"domain_scores_gemma":[0.9998212,0.00001324639,0.00003211313,0.00007551001,0.00004468652,0.00001328485],"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":[0.000006103618,0.00005945288,0.002743464,0.0001179812,0.00004551917,6.548651e-7,0.004150817,0.00001445238,0.003867921,0.9838825,0.002899193,0.002211924],"study_design_scores_gemma":[0.0002275848,0.0001463341,0.00191519,0.00008868075,0.00007537839,0.000004366366,0.001818608,0.00120915,0.003694807,0.004660703,0.9859816,0.0001775424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6558043,0.00009684561,0.00001189719,0.0001392137,0.0002446057,0.0000402954,0.000004297758,0.0000177831,0.3436408],"genre_scores_gemma":[0.9508964,0.000008590209,0.000009550397,0.00004293225,0.0002550777,0.000001174335,0.000003165468,0.000003940673,0.04877912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9830825,"threshold_uncertainty_score":0.9945159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788574682913476,"score_gpt":0.2256594607522382,"score_spread":0.1977737139231035,"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."}}