{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101475,0.0001857138,0.0002844246,0.0002073176,0.0008255868,0.00003776962,0.00031207,0.0001441415,0.00001649928],"category_scores_gemma":[0.0001007681,0.000157198,0.0001802336,0.0002387599,0.000798491,0.001286848,0.00009714587,0.000214507,0.00005755387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306205,"about_ca_system_score_gemma":0.0001732032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008708541,"about_ca_topic_score_gemma":0.00001553761,"domain_scores_codex":[0.9989547,0.00001680066,0.000236504,0.0002032545,0.0003879388,0.0002008182],"domain_scores_gemma":[0.9988889,0.00009615004,0.0004198796,0.0001661577,0.0004139972,0.00001494585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003603052,0.0007378552,0.3110128,0.0005424239,0.0005804037,0.0006412053,0.005749153,0.004540469,0.000993482,0.6638743,0.006531816,0.001193062],"study_design_scores_gemma":[0.002356331,0.0001143674,0.9804896,0.0003383305,0.00006393605,0.0001052695,0.004231349,0.0009106775,0.0009635061,0.002349488,0.00769693,0.0003802595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897213,0.00002516654,0.0008190588,0.0001034803,0.0001648615,0.0002020281,0.00003603244,0.0000729474,0.1088552],"genre_scores_gemma":[0.9994607,0.000003705323,0.00001930222,0.00006715528,0.0001678572,9.471204e-7,0.00002870732,0.000007609191,0.0002439961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6694767,"threshold_uncertainty_score":0.641035,"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."}}