{"id":"W2383852120","doi":"","title":"An Extension Early-warning Model of Cross-cultural Conflicts and Its Application","year":2014,"lang":"en","type":"article","venue":"Systems Engineering","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; Analytic hierarchy process; Multinational corporation; China; Operations research; Extension (predicate logic); Index (typography); Computer science; Cross-cultural; Early warning system; Political science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00353849,0.0009044299,0.0004920639,0.002996039,0.001238515,0.002702389,0.001369969,0.001048839,0.00352416],"category_scores_gemma":[0.01008042,0.0003320903,0.00109247,0.002047735,0.001504161,0.006699594,0.002565949,0.001359489,0.0002924518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885891,"about_ca_system_score_gemma":0.002407039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322321,"about_ca_topic_score_gemma":0.002342101,"domain_scores_codex":[0.9967169,0.001346066,0.0002758279,0.0004741962,0.0009540484,0.0002330281],"domain_scores_gemma":[0.9953566,0.002083608,0.0006631569,0.0002720604,0.001326631,0.0002979042],"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":[0.0004068897,0.0004106551,0.04112482,0.0008289565,0.0001964504,0.001051528,0.01144166,0.2456276,0.004958588,0.336218,0.00535898,0.3523758],"study_design_scores_gemma":[0.00006771601,0.0003191135,0.008075079,0.0002073579,0.000127083,0.0005900877,0.004090694,0.7835026,0.002103983,0.1892196,0.01155194,0.0001446929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07263698,0.0003959888,0.9090459,0.0009652694,0.0000829733,0.000275435,0.0001166824,0.0003206166,0.01616012],"genre_scores_gemma":[0.8678973,0.0003663186,0.1273789,0.0001118075,0.00003228225,0.0003206521,0.0001516045,0.00002692171,0.00371414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004322321,"threshold_uncertainty_score":0.01871353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470422035274663,"score_gpt":0.2464914757167277,"score_spread":0.2317872553639811,"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."}}