{"id":"W1927398113","doi":"","title":"One library’s quick response to QR technology for the arts","year":2012,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual arts; Computer science; Art; Computer graphics (images)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003421759,0.00006391024,0.00009809197,0.0001558807,0.000356,0.00001924818,0.002169955,0.00007198909,0.00001418534],"category_scores_gemma":[0.00004927252,0.00004965972,0.00005955369,0.0007998297,0.0001844307,0.0003440806,0.0009601889,0.00009139062,0.00007840949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001583576,"about_ca_system_score_gemma":0.00003355447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002789944,"about_ca_topic_score_gemma":0.000007581265,"domain_scores_codex":[0.999448,0.00002617444,0.00006291068,0.0001445246,0.00009501379,0.0002233867],"domain_scores_gemma":[0.9985235,0.0003357559,0.00006675711,0.0009917244,0.00004607192,0.00003615975],"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":[0.0002373278,0.000121302,0.0006319304,0.00001066999,0.00006273428,9.795904e-7,0.002016887,0.00002820631,0.07674995,0.8157636,0.01728429,0.08709215],"study_design_scores_gemma":[0.0006284959,0.0003577472,0.1572413,0.00001707943,0.00006954539,0.00001361669,0.005362642,0.002050745,0.01143071,0.03113696,0.7913849,0.0003062585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388052,0.0005092119,0.5245807,0.2346148,0.00008636584,0.0005170197,0.000009371163,0.0004332298,0.0004440927],"genre_scores_gemma":[0.9498215,0.00004075002,0.04915266,0.0001903292,0.0000210133,0.000003389112,5.202832e-7,0.000004497828,0.000765286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7846266,"threshold_uncertainty_score":0.4032353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370244041340528,"score_gpt":0.2234324505965712,"score_spread":0.1997300101831659,"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."}}