{"id":"W1605824015","doi":"","title":"“A Many-Veined Leaf”: Minutiae and Multiplicity in Brian Bartlett’s Poetry","year":2003,"lang":"en","type":"article","venue":"Studies in Canadian Literature","topic":"Poetry Analysis and Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Appeal; Literature; Minutiae; Multiplicity (mathematics); Art; Aesthetics; Computer science; Artificial intelligence; Mathematics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000299054,0.0002128028,0.0003511781,0.0004089692,0.0002581614,0.0001885583,0.0001056445,0.00009754476,0.000276799],"category_scores_gemma":[0.0002193678,0.0001925515,0.00006036903,0.0001978962,0.0002907899,0.0002000167,0.00002353863,0.0003556211,0.00001072426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844243,"about_ca_system_score_gemma":0.00007450971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0456844,"about_ca_topic_score_gemma":0.9150584,"domain_scores_codex":[0.9986213,0.0001021511,0.0002772683,0.0003389206,0.0001055253,0.0005547802],"domain_scores_gemma":[0.9994032,0.0000687705,0.00003162423,0.0002114165,0.00008251487,0.0002025228],"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":[0.00001813887,0.00007653696,0.03253445,0.0002372506,0.000181305,0.001012502,0.2087956,0.000008080154,0.00002558447,0.7224808,0.03358185,0.001047821],"study_design_scores_gemma":[0.0007630583,0.00004094477,0.008514992,0.0003681834,0.00002942315,0.00001869261,0.02673931,0.00006282581,0.0000178606,0.00527706,0.957723,0.0004446936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7412227,0.07268516,0.000001107172,0.007840266,0.001491408,0.0004430103,0.0004417697,0.00004123428,0.1758333],"genre_scores_gemma":[0.9912754,0.0002816853,0.00003448222,0.00192862,0.0002310253,0.00002053331,0.00001782593,0.00001408069,0.00619636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9241411,"threshold_uncertainty_score":0.9606705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311547364704117,"score_gpt":0.2686067655744973,"score_spread":0.2374520291040856,"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."}}