{"id":"W3142294017","doi":"","title":"The Role of Benchmarks and Targets in Canadian Innovation Policy","year":2006,"lang":"en","type":"article","venue":"Chapters","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Innovation process; Process (computing); Psychological intervention; Business; Process management; Public economics; Economics; Computer science; Marketing; Engineering; Work in process; Psychology","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":[0.04887508,0.00132387,0.002239691,0.007035761,0.01294082,0.02324966,0.005169555,0.006045697,0.005183238],"category_scores_gemma":[0.1224155,0.001125772,0.0007483742,0.01054184,0.01229751,0.00947947,0.004087316,0.008906187,0.0007108773],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1812723,"about_ca_system_score_gemma":0.209813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9221278,"about_ca_topic_score_gemma":0.9347156,"domain_scores_codex":[0.9311438,0.02127649,0.001655238,0.002673086,0.03572921,0.00752224],"domain_scores_gemma":[0.9333202,0.03629608,0.002161335,0.002156306,0.02246459,0.00360147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002943914,0.000009875227,0.0008719804,0.0001751104,0.00001545256,0.00002961575,0.00135614,0.005565405,0.00008384926,0.9032817,0.04191702,0.04666432],"study_design_scores_gemma":[0.00004266349,0.00006857161,0.009872651,0.002393735,0.00006633998,0.00005323465,0.00497525,0.02089421,0.0006410009,0.4793947,0.4812618,0.0003358426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01308893,0.04565277,0.04324165,0.1858121,0.004527708,0.0003726088,0.0009799367,0.0007461231,0.7055781],"genre_scores_gemma":[0.8065107,0.0349353,0.05124155,0.01876264,0.001162592,0.0007290487,0.0007701127,0.0008232968,0.08506474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8187277,"threshold_uncertainty_score":0.949608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00674386884756333,"score_gpt":0.2590339386858144,"score_spread":0.2522900698382511,"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."}}