{"id":"W2595701487","doi":"10.22323/1.276.0115","title":"STEAM: Education and Communication with Art at ATLAS and CMS","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"High Energy Physics; European Commission; CERN; TRIUMF","keywords":"Outreach; The arts; Social connectedness; Public relations; Engineering ethics; Political science; Mathematics education; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004525256,0.0003620462,0.0003421187,0.001760046,0.003520144,0.008519,0.001015678,0.002773675,0.1966621],"category_scores_gemma":[0.01039579,0.0002544925,0.000413243,0.002568225,0.002090596,0.004475889,0.005385219,0.00233452,0.02864623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003226504,"about_ca_system_score_gemma":0.004490032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951764,"about_ca_topic_score_gemma":0.004741996,"domain_scores_codex":[0.9968113,0.001046779,0.00009814843,0.0003184075,0.001277934,0.0004474544],"domain_scores_gemma":[0.9914833,0.003845323,0.000311911,0.0010463,0.0007118195,0.002601397],"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":[0.0002381768,0.0001286159,0.002418829,0.0001685055,0.00002204966,0.0007357563,0.007189415,0.001023957,0.002361055,0.07489214,0.7626526,0.1481689],"study_design_scores_gemma":[0.00002839426,0.00001986103,0.001262632,0.000037767,0.000003945565,0.00009517205,0.001365452,0.0008698649,0.0009448312,0.01115629,0.9841985,0.0000173265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03853246,0.00246797,0.03053248,0.08590814,0.007000133,0.000155045,0.006344164,0.01155246,0.817507],"genre_scores_gemma":[0.439124,0.001699023,0.01880874,0.007139423,0.006550435,0.0003051495,0.004725578,0.005042059,0.5166056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1966621,"threshold_uncertainty_score":0.6579005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636027061624256,"score_gpt":0.4218906520570753,"score_spread":0.3582879458946497,"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."}}