{"id":"W2586178623","doi":"","title":"Innovation and Export-market Participation in Canadian Manufacturing","year":2016,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"R&D intensity; Business; International trade; Economics; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494683,0.0001103943,0.0002983038,0.0004557488,0.0001864308,0.00006531429,0.0001077314,0.00007390222,0.0006384734],"category_scores_gemma":[0.0009194263,0.000094004,0.00002625194,0.000393215,0.00026153,0.0006432267,0.00008456822,0.0001340509,0.0001629122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325274,"about_ca_system_score_gemma":0.00003576212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00875796,"about_ca_topic_score_gemma":0.1869717,"domain_scores_codex":[0.9983594,0.00003070808,0.0005060997,0.0003637702,0.00005521438,0.0006848091],"domain_scores_gemma":[0.9993597,0.0001835078,0.0000520861,0.0001830924,0.00006819018,0.0001534195],"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":[0.00005099202,0.00003394484,0.4688584,0.0000553116,0.0001143388,0.00001535439,0.0004734197,0.000001836792,0.00003201194,0.5167335,0.005553551,0.008077316],"study_design_scores_gemma":[0.000320757,0.00006395896,0.7288812,0.00003083466,0.000001633706,0.000001464879,0.0002582756,0.0000333134,0.0001843466,0.103812,0.1662578,0.000154439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525675,0.001344202,0.00001017049,0.009508283,0.00008449399,0.0001545737,0.00003909455,0.00001209071,0.03627961],"genre_scores_gemma":[0.9949625,0.002122499,0.00002952165,0.0002533473,0.00006406864,0.00004895808,0.000002378486,0.00001024451,0.002506494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129215,"threshold_uncertainty_score":0.9978428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1927145790143782,"score_gpt":0.3488161687581345,"score_spread":0.1561015897437563,"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."}}