{"id":"W2256291724","doi":"","title":"\"Like a musical score\": Variability and Multiplicity in Sol LeWitt's 1970s Wall Drawings","year":2012,"lang":"en","type":"article","venue":"Master drawings","topic":"Artistic and Creative Research","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Art history; Musical; Visual arts; Multiplicity (mathematics); Nova scotia; History; Mathematics; Geometry; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008786732,0.0002192235,0.0003036097,0.0001087548,0.0003013714,0.0002195753,0.0001594655,0.00007646464,0.00219422],"category_scores_gemma":[0.0001328209,0.0001801587,0.00006514446,0.00004344553,0.0006422303,0.0005814916,0.0002510547,0.0003297223,0.0001590952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000732892,"about_ca_system_score_gemma":0.00002971046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240443,"about_ca_topic_score_gemma":0.0003719839,"domain_scores_codex":[0.9981827,0.0001574825,0.0003078122,0.0003620185,0.0002982184,0.0006917756],"domain_scores_gemma":[0.9990955,0.0002881208,0.00005602734,0.0002506806,0.00007752251,0.0002321469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001990906,0.000748229,0.6369644,0.0002346386,0.00005950948,0.00002000841,0.2022513,0.00000103195,0.0008046469,0.1441491,0.002768537,0.01179951],"study_design_scores_gemma":[0.003539527,0.0004077336,0.5549474,0.0003127886,0.000098758,0.00002889541,0.01949232,0.002687604,0.000393505,0.008047493,0.4085635,0.001480492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921298,0.00006370249,0.0004298983,0.0006431981,0.0001046837,0.0003298324,0.00001232283,0.00005883672,0.07705949],"genre_scores_gemma":[0.9931482,0.000003491569,0.0001666512,0.0006065072,0.0004323569,0.00004743805,0.000006558523,0.00002481517,0.005563946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4057949,"threshold_uncertainty_score":0.9987179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728127409462565,"score_gpt":0.2624726192967728,"score_spread":0.2051913452021472,"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."}}