{"id":"W3124349925","doi":"","title":"Industry And Location Effects On UK Plants' Innovation Propensity","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Prosperity; Business; Technology transfer; Industrial organization; Survey data collection; Economic geography; Economics; International trade; Economic growth","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":[0.0008849474,0.0001214011,0.0002710926,0.001252612,0.0002230415,0.0007783719,0.0001961918,0.0004267454,0.008204826],"category_scores_gemma":[0.009878297,0.0001208645,0.0003494199,0.001775889,0.0003080936,0.0005218073,0.00093108,0.0003517258,0.001145603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762287,"about_ca_system_score_gemma":0.0002951113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265733,"about_ca_topic_score_gemma":0.02137872,"domain_scores_codex":[0.9988827,0.0004854004,0.00008045375,0.0001872444,0.0001983783,0.0001657213],"domain_scores_gemma":[0.9799786,0.01136166,0.006090973,0.000662079,0.0009644012,0.0009422433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001556027,0.00003417491,0.9854263,0.0000364363,0.00007277283,0.0002145609,0.0003210652,0.001648351,0.000450175,0.0002538922,0.0003864816,0.01100027],"study_design_scores_gemma":[0.000007890076,0.0001019159,0.9972847,0.00001053432,0.00002600346,0.0001127458,0.000316813,0.001081688,0.0001639601,0.0001145108,0.0007706417,0.000008680482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966695,0.0002203091,0.0004965476,0.00009431587,0.000004739582,0.000006998917,0.0007084801,0.00001294858,0.001786214],"genre_scores_gemma":[0.9986112,0.0000854713,0.00009549582,0.000009296124,0.000003520253,0.000005823183,0.0003500922,0.00000209734,0.0008368439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265733,"threshold_uncertainty_score":0.02744788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335987558441241,"score_gpt":0.2107967455158889,"score_spread":0.1674368699314765,"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."}}