{"id":"W2047717663","doi":"10.1016/j.wpi.2014.03.001","title":"Canadian worldwide patent activity: An industrial level analysis","year":2014,"lang":"en","type":"article","venue":"World Patent Information","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Patent analysis; Value (mathematics); Business; International trade; Economic geography; Industrial organization; Economics; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001184549,0.0005139171,0.0006331188,0.010856,0.002311216,0.002783009,0.001463584,0.0006691534,0.01476085],"category_scores_gemma":[0.007050133,0.0002821282,0.001147144,0.0254355,0.0006139632,0.0009445245,0.0009149375,0.0008213455,0.001147304],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04669508,"about_ca_system_score_gemma":0.03965391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956709,"about_ca_topic_score_gemma":0.9971128,"domain_scores_codex":[0.9982598,0.00009510972,0.00006578553,0.0002040624,0.0009279096,0.0004473173],"domain_scores_gemma":[0.9925149,0.0009841163,0.0008008505,0.0002471263,0.004631253,0.0008216936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006297648,0.0002299038,0.8515784,0.0003716073,0.000563824,0.0004747558,0.001474396,0.01347994,0.000748095,0.02823666,0.03666277,0.06554988],"study_design_scores_gemma":[0.0000282322,0.00005587439,0.9728585,0.00003614592,0.0002344865,0.00008323488,0.0008898465,0.006262703,0.0003289744,0.0005233081,0.01864128,0.00005737659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8483941,0.004184602,0.001454907,0.001556232,0.00003752907,0.0001735143,0.05489133,0.0002102372,0.08909746],"genre_scores_gemma":[0.9651287,0.001669612,0.0008361987,0.00008859853,0.00001856549,0.00003859168,0.01510841,0.00003721498,0.0170741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.989144,"threshold_uncertainty_score":0.3387981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599719412413521,"score_gpt":0.2226091091847388,"score_spread":0.0626371679433867,"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."}}