{"id":"W7095616670","doi":"","title":".Research Policy 28 1999 215–230 Canadian R&D abroad management practices","year":2016,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidiary; Expatriate; Multinational corporation; Order (exchange); Technology transfer; Process (computing)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004712618,0.0005612596,0.0004957356,0.002712389,0.01210479,0.01201509,0.001748327,0.003657575,0.09966101],"category_scores_gemma":[0.007895043,0.0006081736,0.0004076537,0.005488884,0.004181225,0.002311171,0.003437273,0.002186624,0.01480698],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06734397,"about_ca_system_score_gemma":0.1271663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8898421,"about_ca_topic_score_gemma":0.9122948,"domain_scores_codex":[0.9947118,0.001047339,0.000167463,0.0007551668,0.001927638,0.001390758],"domain_scores_gemma":[0.9923019,0.0009817657,0.0004205657,0.0006090422,0.003708198,0.001978535],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006594209,0.00008240222,0.006692482,0.0005331688,0.00004694018,0.0006288975,0.00526001,0.0005273136,0.001095809,0.2224927,0.6453544,0.11722],"study_design_scores_gemma":[0.000005294215,0.000009118196,0.002572844,0.0001731493,0.00001002589,0.00004204415,0.001214128,0.00008488763,0.00009963194,0.0009457278,0.9948308,0.00001241037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01220955,0.02917471,0.0008123708,0.09885169,0.0009671576,0.0002295781,0.002100484,0.0002179572,0.8554365],"genre_scores_gemma":[0.1567445,0.03136639,0.002465017,0.01997606,0.0004420461,0.0001758667,0.001008025,0.000181767,0.7876403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952874,"threshold_uncertainty_score":0.4886169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806159147884512,"score_gpt":0.3912412612034444,"score_spread":0.2106253464149932,"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."}}