{"id":"W7099498728","doi":"","title":"Offshoring and Outsourcing of R&amp;amp;D and Business Activities in Canadian Technology Firms","year":2015,"lang":"en","type":"article","venue":"","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Offshoring; Empirical evidence; Empirical research; Information technology; Survey data collection","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":[0.0009001159,0.0002907928,0.0002646011,0.003677177,0.003883988,0.002356205,0.0007845572,0.0004267449,0.003204714],"category_scores_gemma":[0.003676566,0.0002408582,0.0003468137,0.01070787,0.001665132,0.000734329,0.001755218,0.0006354756,0.0002072751],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04101197,"about_ca_system_score_gemma":0.05495068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99253,"about_ca_topic_score_gemma":0.9970332,"domain_scores_codex":[0.9984366,0.0001136136,0.0000533512,0.0001333441,0.0005115318,0.0007515453],"domain_scores_gemma":[0.9953632,0.000589005,0.001362899,0.0001003518,0.001258171,0.00132636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001192712,0.0001225483,0.9245355,0.0002183414,0.00003706002,0.0005938491,0.01892942,0.000835526,0.0007852676,0.007850695,0.004153711,0.0418189],"study_design_scores_gemma":[0.000003165889,0.00001489054,0.970787,0.00007384385,0.00001282284,0.00008107995,0.02188457,0.0002917945,0.000110685,0.0001716196,0.006548164,0.00002031959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803873,0.001528673,0.00009504013,0.001031284,0.000005835316,0.00002510864,0.0008302116,0.000006860996,0.01608971],"genre_scores_gemma":[0.9936906,0.002007353,0.0001737374,0.00009462176,0.000003447443,0.000008179242,0.000546852,0.000004264516,0.003470971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.958988,"threshold_uncertainty_score":0.297564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754580706326594,"score_gpt":0.230593061871518,"score_spread":0.1830472548082521,"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."}}