{"id":"W2994798485","doi":"10.1561/110.00000014","title":"Innovation by Design: Impact and Effectiveness of Public Support for Business Innovation","year":2019,"lang":"en","type":"article","venue":"Annals of Science and Technology Policy","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Government (linguistics); Corporate governance; Public policy; Value (mathematics); Conceptual framework; Political science; Business; Sociology; Economics; Management; Economic growth; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03721416,0.0007067817,0.0009271424,0.005055103,0.001955818,0.0103402,0.001715821,0.003357636,0.01617907],"category_scores_gemma":[0.1273637,0.0003626618,0.001528839,0.004175114,0.006836878,0.00773541,0.00816255,0.001711413,0.001535812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008852241,"about_ca_system_score_gemma":0.01034556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468883,"about_ca_topic_score_gemma":0.001514165,"domain_scores_codex":[0.9287447,0.04965891,0.002156769,0.002679633,0.01272514,0.004034931],"domain_scores_gemma":[0.7964528,0.1592159,0.02048433,0.01144676,0.007474137,0.004926163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001343384,0.002217383,0.04898033,0.004624024,0.0008393424,0.0002956211,0.007427745,0.007704336,0.001155595,0.4129591,0.01213059,0.5003225],"study_design_scores_gemma":[0.001683094,0.006499588,0.1288286,0.008141708,0.001407058,0.001087661,0.0143048,0.01159292,0.008996005,0.4741969,0.3430823,0.0001793596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3049069,0.0251307,0.01884165,0.02811347,0.0005311951,0.0008829184,0.0004536457,0.0004495311,0.62069],"genre_scores_gemma":[0.9841054,0.00490803,0.003792146,0.0008554316,0.0001879395,0.0003784814,0.00009211037,0.0000616973,0.005618799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03721416,"threshold_uncertainty_score":0.1968096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09058740227746351,"score_gpt":0.3435933193939362,"score_spread":0.2530059171164727,"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."}}