{"id":"W1589975407","doi":"","title":"TRAINING FOR THE UNIVERSAL MUSEUM","year":2009,"lang":"en","type":"other","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Value (mathematics); State (computer science); Politics; Sociology; Public relations; Political science; History; Law; Computer science","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":[0.001558521,0.0003962691,0.0002074352,0.000698989,0.006868125,0.003366451,0.0009947285,0.003018228,0.07675279],"category_scores_gemma":[0.00274351,0.0001975929,0.0003154895,0.0006178124,0.00308839,0.00482829,0.0103071,0.00320943,0.008515932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003955546,"about_ca_system_score_gemma":0.01075639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874696,"about_ca_topic_score_gemma":0.08212214,"domain_scores_codex":[0.9981642,0.0005201916,0.00004830996,0.0002588062,0.0003534416,0.0006550507],"domain_scores_gemma":[0.9983206,0.0001353412,0.00009827351,0.0001433808,0.0001606611,0.001141646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001171371,0.00008684952,0.001639625,0.0001611323,0.00000234531,0.000138885,0.009145836,0.00004035878,0.0002411985,0.08307812,0.7615055,0.1439484],"study_design_scores_gemma":[0.000002303428,0.00001545252,0.002339783,0.0002100358,0.000001250533,0.0001890957,0.004337151,0.00001959535,0.0000657973,0.001938969,0.9908765,0.00000406629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0157162,0.007926019,0.001947394,0.1073404,0.004184557,0.000120332,0.0002116716,0.0004129935,0.8621404],"genre_scores_gemma":[0.1214626,0.004794139,0.00417064,0.03221399,0.0007393309,0.0001744634,0.000221227,0.0002000839,0.8360236],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07675279,"threshold_uncertainty_score":0.2567636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045991391900883,"score_gpt":0.2369783691793169,"score_spread":0.1965184552603081,"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."}}