{"id":"W4383682086","doi":"10.35490/ec3.2023.264","title":"A blockchain-based approach for managing construction claims","year":2023,"lang":"en","type":"article","venue":"Computing in construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Unavailability; Ambiguity; Blockchain; Computer science; Risk analysis (engineering); Quality (philosophy); Trustworthiness; Reliability (semiconductor); Process (computing); Computer security; Information management; Process management; Knowledge management; Business; Reliability engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002329005,0.0004714024,0.0007997772,0.001287441,0.002567493,0.002856435,0.002022865,0.001635227,0.007715532],"category_scores_gemma":[0.003442729,0.0003499523,0.0005749476,0.002051103,0.001298144,0.004227555,0.00389365,0.001348387,0.001534809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425145,"about_ca_system_score_gemma":0.003576452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005789469,"about_ca_topic_score_gemma":0.007699515,"domain_scores_codex":[0.9979556,0.0006079955,0.0001437047,0.0002652268,0.0008033888,0.0002240569],"domain_scores_gemma":[0.9981207,0.0006670342,0.000175862,0.0003233408,0.000481741,0.0002311917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007900938,0.0006310902,0.003240666,0.0007359502,0.0001758485,0.00241648,0.00230096,0.2958303,0.02010287,0.2973708,0.01920893,0.357196],"study_design_scores_gemma":[0.0001080492,0.0001849052,0.0005608743,0.0001126651,0.0000685268,0.0004997186,0.0004458388,0.8293746,0.00487588,0.1048192,0.05887651,0.00007319545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02958812,0.001319071,0.9317303,0.001992916,0.0003329143,0.0008848114,0.0003294229,0.001190566,0.03263185],"genre_scores_gemma":[0.7564885,0.001759946,0.2129012,0.0003184798,0.0001674493,0.0006254555,0.000657255,0.0001206917,0.0269611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007715532,"threshold_uncertainty_score":0.02581102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145242355469947,"score_gpt":0.2244458355668096,"score_spread":0.2099216000198149,"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."}}