{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02339012,0.0003122149,0.0004515512,0.001892233,0.006728462,0.01143231,0.001764114,0.007107965,0.01534892],"category_scores_gemma":[0.06005125,0.0003923145,0.0005891723,0.001596693,0.006148579,0.004721559,0.006408954,0.004729197,0.0005565842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01984113,"about_ca_system_score_gemma":0.04156856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09985899,"about_ca_topic_score_gemma":0.1305742,"domain_scores_codex":[0.9786273,0.008808976,0.0007069444,0.001755204,0.004611875,0.005489744],"domain_scores_gemma":[0.9115877,0.04815587,0.008408264,0.004368467,0.01878643,0.008693321],"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":[0.0001737656,0.0001918434,0.0223295,0.00009883977,0.0000460911,0.0005097674,0.004329771,0.00310707,0.001091559,0.9144047,0.01216559,0.0415514],"study_design_scores_gemma":[0.000456159,0.001049031,0.1536114,0.001031963,0.0002937901,0.0005483772,0.02732792,0.01786192,0.005239126,0.2235466,0.5686281,0.0004057208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3952441,0.001804343,0.008162146,0.0820712,0.0004157773,0.0003560312,0.0002574767,0.0002367081,0.5114522],"genre_scores_gemma":[0.9688288,0.0001952745,0.0007607604,0.004055756,0.00008088214,0.00009464363,0.00003053512,0.0000144611,0.02593906],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09985899,"threshold_uncertainty_score":0.1985555,"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."}}