{"id":"W2812752337","doi":"","title":"A Nation of Soft Sellers: Do Canadian tech companies underperform in global markets due to low expenditures on marketing and sales?","year":2017,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Marketing; Commerce","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":[0.001114131,0.0002688807,0.0002627439,0.001850616,0.003729014,0.004806905,0.001182813,0.001059619,0.008015594],"category_scores_gemma":[0.006179744,0.0002295958,0.0002893495,0.004968974,0.002353471,0.00179846,0.001093314,0.001341191,0.0006713971],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02440059,"about_ca_system_score_gemma":0.03609272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864884,"about_ca_topic_score_gemma":0.9954063,"domain_scores_codex":[0.9987229,0.00005036675,0.00002181971,0.00009612741,0.0005110264,0.0005978494],"domain_scores_gemma":[0.9917976,0.0005844731,0.002036488,0.0001712119,0.002481266,0.002928853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001253583,0.00008140939,0.9527631,0.00003992381,0.00004356496,0.0002045605,0.002789811,0.0001316719,0.0001518135,0.00420073,0.0217491,0.01771888],"study_design_scores_gemma":[0.00001491152,0.00002033868,0.9699675,0.00004740571,0.00004060219,0.00005477739,0.01720479,0.0002427847,0.0001251996,0.0005362339,0.01172174,0.00002363652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363768,0.001295381,0.0001032975,0.01785026,0.00008530213,0.00004280149,0.003448859,0.000013611,0.0407838],"genre_scores_gemma":[0.9917428,0.0006897444,0.00006173322,0.001304868,0.00004162655,0.000006678999,0.001047618,0.00001064318,0.005094368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755994,"threshold_uncertainty_score":0.1770395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303684852121619,"score_gpt":0.2141513362298429,"score_spread":0.183782851017681,"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."}}