{"id":"W2050729895","doi":"10.5539/res.v7n6p12","title":"Improving the Methodological Support for Recording Expenditures and Outcomes of R&D","year":2015,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Definiteness; Cohesion (chemistry); Accounting; Business; Process (computing); Investment (military); Economics; Industrial organization; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2456627,0.001392376,0.001813241,0.01267049,0.002144745,0.007573043,0.005878861,0.002519536,0.006157376],"category_scores_gemma":[0.4980313,0.001003069,0.002221937,0.02240161,0.005119645,0.005843564,0.006410967,0.003577102,0.003093359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003892321,"about_ca_system_score_gemma":0.01027359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006842864,"about_ca_topic_score_gemma":0.008814704,"domain_scores_codex":[0.5843395,0.2375076,0.08748586,0.01980137,0.06848224,0.002383507],"domain_scores_gemma":[0.3838563,0.2133983,0.08950337,0.1807718,0.130281,0.00218916],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001568825,0.0006853948,0.1098017,0.009516704,0.001353587,0.0004062956,0.005980042,0.004508956,0.006642793,0.1671875,0.0430093,0.6493389],"study_design_scores_gemma":[0.0006194284,0.001174029,0.1877447,0.008369899,0.001508914,0.0009222891,0.004739757,0.01147238,0.03055169,0.1120533,0.6402531,0.0005906209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04364653,0.00758845,0.8332546,0.01058557,0.005375387,0.01418713,0.01751901,0.001486615,0.06635664],"genre_scores_gemma":[0.2041932,0.003994008,0.7429973,0.003194784,0.002249758,0.02650027,0.007437484,0.000821994,0.008611117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7543373,"threshold_uncertainty_score":0.9302322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4182208002007105,"score_gpt":0.4664113586593187,"score_spread":0.0481905584586082,"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."}}