{"id":"W2014702333","doi":"10.1002/tie.20184","title":"BlackBerry in red China: Research in motion navigates institutional barriers in an emerging market. Case comment: RIM in China","year":2008,"lang":"en","type":"article","venue":"Thunderbird International Business Review","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; National Bank of Canada; McGill University; Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Thriving; China; Order (exchange); Settlement (finance); Politics; Chinese market; Business; Law and economics; Political science; Economics; Law; Sociology; Finance","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":[0.007740865,0.0002698113,0.0004040689,0.001089902,0.01074876,0.003381297,0.001507433,0.006626209,0.008474278],"category_scores_gemma":[0.006276748,0.0002230903,0.0004138779,0.001637133,0.006350582,0.002950151,0.002986064,0.003778912,0.0004091131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006921404,"about_ca_system_score_gemma":0.01186679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07038216,"about_ca_topic_score_gemma":0.1364366,"domain_scores_codex":[0.9977838,0.000762394,0.00007873496,0.000279696,0.0002455785,0.0008496875],"domain_scores_gemma":[0.9943297,0.002652525,0.0009189693,0.0004086766,0.0005229535,0.001167119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004085722,0.0003866578,0.08842719,0.0007625531,0.00003520133,0.08147655,0.4675568,0.0003511064,0.004307499,0.2076497,0.1001521,0.0484861],"study_design_scores_gemma":[0.00009459884,0.0006348386,0.07922847,0.0006800051,0.00006370058,0.006088638,0.5431345,0.000978468,0.003243352,0.006709208,0.3590109,0.0001331824],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7523037,0.00193559,0.0003460147,0.1673272,0.0003578496,0.000130132,0.00007069665,0.00003577849,0.07749295],"genre_scores_gemma":[0.9389048,0.0008201448,0.0002122532,0.02786261,0.0001469188,0.00006471787,0.0000230239,0.000009971694,0.03195555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07038216,"threshold_uncertainty_score":0.139945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08354819056760597,"score_gpt":0.4029075835483407,"score_spread":0.3193593929807347,"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."}}