{"id":"W4246373661","doi":"10.1002/dama.201770208","title":"13th Canadian Masonry Symposium","year":2017,"lang":"en","type":"article","venue":"Mauerwerk","topic":"Advanced Energy Technologies and Civil Engineering Innovations","field":"Energy","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Masonry; Citation; Library science; Engineering; History; Forensic engineering; Computer science; Operations research; Structural engineering","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":[0.00004331201,0.0001193615,0.0001045589,0.0001025234,0.0005221922,0.00008720234,0.0005132426,0.0001170829,0.0002290152],"category_scores_gemma":[0.00008035958,0.0001195189,0.00003664817,0.00008504102,0.00006655357,0.0001404285,0.00007763652,0.0001422383,0.0001453273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080813,"about_ca_system_score_gemma":0.00004844477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1024548,"about_ca_topic_score_gemma":0.1753383,"domain_scores_codex":[0.9992749,0.000002844543,0.0001119773,0.0001784753,0.00007918609,0.0003525933],"domain_scores_gemma":[0.9989002,0.000008232186,0.00005079583,0.0009083069,0.00003955089,0.00009293563],"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":[0.000002165375,0.00001022285,0.001144237,0.000007212909,0.00002671162,0.00003721022,0.00002408234,0.03462255,0.001347017,0.9362038,0.006149602,0.02042522],"study_design_scores_gemma":[0.000135664,0.00001515232,0.006158259,0.00001376901,0.000005467983,0.000005803763,0.00002796041,0.001286006,0.001559366,0.005901945,0.984681,0.0002096761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04045985,0.00008278542,0.003296803,0.009813272,0.001143276,0.00007421112,0.00001978789,0.0007987699,0.9443113],"genre_scores_gemma":[0.9869349,0.00003532206,0.002028289,0.0002274271,0.0001172698,0.0000255614,0.00001394287,0.00002984449,0.01058741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9785313,"threshold_uncertainty_score":0.9035221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113267260373158,"score_gpt":0.2279751607473778,"score_spread":0.216648434710062,"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."}}