{"id":"W3139966438","doi":"","title":"Innovation and Other Components of Growth in Canadian Technology Firms","year":2006,"lang":"en","type":"article","venue":"Chapters","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Innovation process; Stock (firearms); Business; Industrial organization; Process (computing); Psychological intervention; Technology policy; Policy making; Marketing; Computer science; Engineering; Work in process; Economic policy; Psychology; Sociology","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":[0.001335453,0.0004656132,0.0005725397,0.00497719,0.003417669,0.004576809,0.00120761,0.0013364,0.006548444],"category_scores_gemma":[0.01020534,0.0002234187,0.0008257114,0.009880938,0.003181012,0.002020505,0.001835682,0.00160531,0.0003364235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06839754,"about_ca_system_score_gemma":0.04221662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9737856,"about_ca_topic_score_gemma":0.9748001,"domain_scores_codex":[0.9984231,0.0001583766,0.00003997488,0.000101722,0.0005490106,0.0007277871],"domain_scores_gemma":[0.9953853,0.00163691,0.0005410212,0.0001014154,0.001406993,0.0009284308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003015471,0.0002324575,0.4725212,0.0002184005,0.0001487095,0.0004902061,0.01236211,0.02153347,0.0005301656,0.3992095,0.01783932,0.07461296],"study_design_scores_gemma":[0.00001574913,0.00004655134,0.9140599,0.0001244446,0.00007233379,0.00009938067,0.009162963,0.0111308,0.0001784723,0.03694655,0.0280865,0.00007635617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8173615,0.007362344,0.001230793,0.008986582,0.0001422026,0.0001166879,0.003827525,0.00008407969,0.1608883],"genre_scores_gemma":[0.9819998,0.002681971,0.000298695,0.0001156765,0.0000412837,0.00002658604,0.000801552,0.00001087916,0.01402354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06839754,"threshold_uncertainty_score":0.4962612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669976584205438,"score_gpt":0.2737675462075743,"score_spread":0.2470677803655199,"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."}}