{"id":"W7096293764","doi":"","title":"1 Role of Skills and Government Support in Stimulating Innovation By","year":2002,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Government (linguistics); Product (mathematics); Human capital; Manufacturing; Survey data collection; Manufacturing sector; Capital (architecture)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001116144,0.0001706653,0.0002295919,0.001944815,0.001020849,0.002580381,0.000572156,0.0007074448,0.00968184],"category_scores_gemma":[0.01235447,0.0001308161,0.0003575335,0.00327274,0.00146586,0.000689214,0.001240953,0.0007866559,0.0007686086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004613074,"about_ca_system_score_gemma":0.008442785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3507476,"about_ca_topic_score_gemma":0.5260949,"domain_scores_codex":[0.997888,0.0004097443,0.0001030642,0.0001551809,0.0007311862,0.0007127894],"domain_scores_gemma":[0.9825582,0.005751299,0.005932535,0.0006483987,0.001869402,0.003240275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001477655,0.0001651896,0.9411009,0.0001080551,0.00009524493,0.0003600685,0.0008058836,0.001519878,0.0005177585,0.008510453,0.004213015,0.04245593],"study_design_scores_gemma":[0.00002096027,0.0000615426,0.9850186,0.00007975499,0.00005672301,0.0001327463,0.0009613763,0.0007850993,0.000242827,0.00191212,0.01071813,0.00001010436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9182118,0.002083647,0.0004036938,0.005121227,0.00003073507,0.00003547825,0.001631479,0.00003902287,0.07244286],"genre_scores_gemma":[0.9965167,0.0004913867,0.0001121372,0.000164201,0.00002629446,0.000005956453,0.000294881,0.000004126985,0.002384288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9903182,"threshold_uncertainty_score":0.6974121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859854193762375,"score_gpt":0.2125306791085447,"score_spread":0.1939321371709209,"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."}}