{"id":"W1497717160","doi":"","title":"IMPACTS OF SOCIAL EMBEDDEDNESS ON IOS PLANNING EFFECTIVENESS: A MULTILEVEL PERSPECTIVE","year":2008,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Embeddedness; Dyad; Perspective (graphical); Salience (neuroscience); Exploit; Business; Process management; Knowledge management; Interpersonal ties; Operations management; Computer science; Sociology; Economics; Psychology; Social psychology","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":[0.003010754,0.0003476065,0.0004808481,0.002899017,0.001570483,0.004243176,0.0008793653,0.0005655416,0.01006277],"category_scores_gemma":[0.01303443,0.0003107355,0.0005913216,0.002317485,0.003927908,0.003986293,0.00613626,0.00153117,0.0003173859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002813105,"about_ca_system_score_gemma":0.002175817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006810556,"about_ca_topic_score_gemma":0.0095342,"domain_scores_codex":[0.9959001,0.00203665,0.0001725388,0.0004303537,0.0007361582,0.0007242383],"domain_scores_gemma":[0.9825287,0.008544821,0.004175152,0.001238851,0.001275828,0.002236605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003287267,0.0008641289,0.7632977,0.0003320312,0.001039778,0.00106041,0.02129625,0.0144176,0.002736901,0.1162343,0.0006554499,0.07773685],"study_design_scores_gemma":[0.00005478408,0.000881719,0.858992,0.0002800223,0.0006746646,0.0002667373,0.03274583,0.02252664,0.001983646,0.07563417,0.005884939,0.00007490638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521221,0.0002009974,0.007181184,0.001077416,0.000007196948,0.00005946953,0.0001070035,0.00003158408,0.03921311],"genre_scores_gemma":[0.9989924,0.00005371231,0.0006460422,0.00001530894,0.000003170255,0.00001235651,0.00002067124,0.000003908289,0.0002524905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006277,"threshold_uncertainty_score":0.03366327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544833295800515,"score_gpt":0.2159223632633812,"score_spread":0.200474030305376,"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."}}