{"id":"W4408398304","doi":"10.1007/978-3-031-84208-5_50","title":"Time, Cost and Quantity Interoperability: A New Common Language for General Contractors","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroRx Research (Canada)","funders":"","keywords":"Interoperability; Computer science; Business; Programming language; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002207406,0.0003839476,0.000533711,0.0002364128,0.00004628416,0.0002046981,0.0005936632,0.0002870079,0.0000212719],"category_scores_gemma":[0.0001892185,0.0003709739,0.0001143211,0.00007901035,0.0000241922,0.0001221962,0.000370173,0.0005326247,0.000002807992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290701,"about_ca_system_score_gemma":0.00007218732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002096911,"about_ca_topic_score_gemma":0.001077679,"domain_scores_codex":[0.9986036,0.00001022657,0.0003302487,0.0005507075,0.0001551253,0.0003500401],"domain_scores_gemma":[0.9986797,0.0006200985,0.0000731781,0.0004939132,0.00003332648,0.00009980451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006977036,0.00007376725,0.001050918,0.001503299,0.0004549233,0.0001633689,0.005614604,0.1711863,0.003268564,0.08768976,0.002208154,0.7267166],"study_design_scores_gemma":[0.000695044,0.00008531458,0.0003140792,0.001026385,0.00003578708,0.00002018547,0.000001090586,0.964466,0.0006404965,0.002951107,0.02901543,0.0007491311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002443272,0.002484345,0.9891692,0.0003063974,0.0008398035,0.0005695505,0.00002057546,0.0002898585,0.003877009],"genre_scores_gemma":[0.8216042,0.000186557,0.1583978,0.001819736,0.002029944,0.00006825318,0.0001253266,0.0002716104,0.01549654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8307714,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113073515259242,"score_gpt":0.2354931561922194,"score_spread":0.2243624210396269,"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."}}