{"id":"W2113691376","doi":"10.2139/ssrn.1123969","title":"Knowledge Transfers between Canadian Business Enterprises and Universities: Does Distance Matter?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Knowledge transfer; Absorptive capacity; Business; Geographical distance; Control (management); Knowledge flow; Survey data collection; Affect (linguistics); Selection bias; Industrial organization; Economics; Knowledge management; Statistics; Management; Sociology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003973772,0.000225319,0.0005729393,0.002631534,0.008013525,0.008292453,0.00165217,0.002064335,0.01958345],"category_scores_gemma":[0.03344098,0.0001876544,0.0004741795,0.005560399,0.003691574,0.005180829,0.004066295,0.002021199,0.0008141052],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05039869,"about_ca_system_score_gemma":0.06499784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9634447,"about_ca_topic_score_gemma":0.9751865,"domain_scores_codex":[0.9935316,0.0008476117,0.0001672736,0.0004052172,0.002009311,0.003039058],"domain_scores_gemma":[0.9676732,0.01001062,0.004393703,0.0008346537,0.009988736,0.007099092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001640126,0.0008122963,0.6280543,0.0003729872,0.0003477327,0.001005005,0.03116522,0.005139015,0.0007717396,0.110329,0.04403483,0.1763278],"study_design_scores_gemma":[0.0001778791,0.0001611311,0.8565868,0.0004390609,0.0002710171,0.000150286,0.07192068,0.001847218,0.0008558302,0.01634953,0.05110051,0.0001400383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638865,0.002755125,0.0006730171,0.02775686,0.0001049342,0.00007799637,0.001319758,0.00003893544,0.1033869],"genre_scores_gemma":[0.9925286,0.0004980459,0.00007382713,0.0005972064,0.00002505626,0.000009498428,0.0001688837,0.000006079538,0.006092949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9919865,"threshold_uncertainty_score":0.3656698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175711571028698,"score_gpt":0.1913260556735384,"score_spread":0.1795689399632515,"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."}}