{"id":"W3123846514","doi":"10.11575/sppp.v5i0.42396","title":"Support for Business R&D in Budget 2012: Two Steps Forward and One Back","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Computer 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":[0.008659265,0.001478242,0.000894911,0.002384433,0.002936222,0.01325894,0.001844115,0.01341349,0.01940528],"category_scores_gemma":[0.03861934,0.001161401,0.001104517,0.002227379,0.001533911,0.006381913,0.004761507,0.01306005,0.007156823],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009693048,"about_ca_system_score_gemma":0.02788357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07075244,"about_ca_topic_score_gemma":0.0872345,"domain_scores_codex":[0.9881584,0.001823833,0.000954878,0.0005138607,0.005659691,0.002889361],"domain_scores_gemma":[0.9876574,0.002815,0.001536152,0.0007026974,0.003884802,0.003403971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003083933,0.00014357,0.00106873,0.0005924215,0.0000594939,0.0001890361,0.0002075701,0.0005380003,0.001069015,0.05473799,0.8550888,0.0859971],"study_design_scores_gemma":[0.0001945205,0.0001543559,0.005964992,0.0007666677,0.00004849328,0.00007908127,0.000344782,0.0003805114,0.0008457862,0.007774064,0.9833447,0.0001020921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01222056,0.01981749,0.003706366,0.8125297,0.02946784,0.0004810359,0.004392604,0.001092779,0.1162916],"genre_scores_gemma":[0.1571403,0.025854,0.02873702,0.4153118,0.0106219,0.001480311,0.007668634,0.001056451,0.3521296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.990307,"threshold_uncertainty_score":0.1406812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691354125416704,"score_gpt":0.3209166096974537,"score_spread":0.2517811971557833,"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."}}