{"id":"W4220948403","doi":"10.1061/9780784483985.070","title":"Scale Equivalence in Canada and the United States for Interpersonal Conflicts at Work and Individual Resilience in the Construction Sector","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Scale (ratio); Interpersonal communication; Equivalence (formal languages); Resilience (materials science); Work (physics); Psychological resilience; Social psychology; Psychology; Geography; Engineering; Mathematics; Discrete mathematics; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008174859,0.0003888258,0.0005137505,0.003527653,0.004178536,0.001828149,0.001171999,0.0003676819,0.00302305],"category_scores_gemma":[0.02523813,0.0003643448,0.000986918,0.005515927,0.002031637,0.0006836229,0.002174851,0.0007687628,0.0003039243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02736985,"about_ca_system_score_gemma":0.04244932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719919,"about_ca_topic_score_gemma":0.9826664,"domain_scores_codex":[0.9919603,0.0015704,0.0005531654,0.000814778,0.004086051,0.00101529],"domain_scores_gemma":[0.985827,0.001739582,0.001153188,0.000647495,0.009263561,0.001369123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004581229,0.000201634,0.904201,0.0001472242,0.0002532392,0.0001635486,0.01037931,0.000571397,0.0006947849,0.005991214,0.01074364,0.06619491],"study_design_scores_gemma":[0.00003620198,0.00004731026,0.9855165,0.0000917871,0.00003169528,0.00004439135,0.005576527,0.0005754376,0.0001642565,0.000397093,0.007495411,0.00002336074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568695,0.001291531,0.002187548,0.001133219,0.0002343768,0.000669559,0.002584956,0.00005294978,0.03497639],"genre_scores_gemma":[0.9895353,0.0005219051,0.00304402,0.0002948189,0.00001781347,0.0005080756,0.002199185,0.00003548313,0.003843378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0280081,"threshold_uncertainty_score":0.1985831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155347387010456,"score_gpt":0.4330566545613982,"score_spread":0.3175219158603527,"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."}}