{"id":"W7002279110","doi":"","title":"Mutual recognition arrangements: impact on building regulators and CCMC","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Hospitality and Tourism Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mutual recognition; Field (mathematics); Information system; Automatic target recognition; Matching (statistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001531567,0.0001058702,0.00008834268,0.0001395537,0.0001305324,0.0001694751,0.00005796461,0.0000438979,0.002131119],"category_scores_gemma":[0.00005865448,0.00009418285,0.00003946042,0.0001788265,0.00002548838,0.0006713588,0.00002495313,0.00007357461,0.0005423803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000287056,"about_ca_system_score_gemma":0.000002302975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005454915,"about_ca_topic_score_gemma":0.000002838394,"domain_scores_codex":[0.9993879,0.000006853341,0.0001180018,0.0001770506,0.000143707,0.0001664446],"domain_scores_gemma":[0.9997342,0.00001865898,0.00007767566,0.0001143002,0.00004115187,0.00001397547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001115162,0.0008957533,0.05245249,0.000248237,0.0001518287,0.00001738306,0.001018165,0.00002674263,0.005536242,0.02076591,0.2578496,0.6609261],"study_design_scores_gemma":[0.004436564,0.0003058806,0.4859615,0.0006480981,0.0002895406,0.00001260755,0.001427306,0.02270552,0.002056591,0.2883567,0.1917374,0.002062317],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387064,0.00001948498,0.00003772278,0.001362406,0.0002638012,0.0001191212,0.000001886513,0.0000657234,0.05942344],"genre_scores_gemma":[0.9976465,0.00001351945,0.0002279838,0.0006799534,0.001150042,0.00001008265,0.00001818538,0.00001360322,0.0002401641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6588638,"threshold_uncertainty_score":0.9987811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535358592198072,"score_gpt":0.2415448013261054,"score_spread":0.2161912154041246,"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."}}