{"id":"W2086237013","doi":"10.1016/j.technovation.2008.11.002","title":"Reviewing: The unsung heroes of excellent journals and publications","year":2008,"lang":"en","type":"article","venue":"Technovation","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Operationalization; Nanoelectromechanical systems; Emerging technologies; Data science; Computer science; Management science; Nanotechnology; Engineering; Artificial intelligence; Epistemology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02367083,0.001063076,0.001642942,0.0107424,0.007599883,0.03194068,0.001549381,0.005316437,0.02612384],"category_scores_gemma":[0.1645488,0.0007113778,0.0006872984,0.007556275,0.007885845,0.01237008,0.004778965,0.006461768,0.01824807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004109291,"about_ca_system_score_gemma":0.009324317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719912,"about_ca_topic_score_gemma":0.004978203,"domain_scores_codex":[0.9754618,0.00616541,0.00158439,0.002024676,0.01329896,0.001464712],"domain_scores_gemma":[0.7613719,0.04210116,0.02773239,0.01892766,0.1117171,0.03814987],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004246058,0.00002232724,0.001560407,0.0002656489,0.00004116811,0.0001509572,0.001221661,0.00007344392,0.0004648304,0.01989432,0.8840522,0.09221074],"study_design_scores_gemma":[0.00001000476,0.00003268478,0.002811979,0.0003869766,0.00002989732,0.0003292194,0.001515531,0.0001570648,0.0003599359,0.01697348,0.9773476,0.00004572643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01366743,0.06494922,0.005921507,0.5977925,0.187148,0.0001326675,0.0006832269,0.001455834,0.1282495],"genre_scores_gemma":[0.2056923,0.0525936,0.01002006,0.1161158,0.2284874,0.0001969184,0.0006978111,0.002364005,0.383832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9763291,"threshold_uncertainty_score":0.1251848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3810724375885343,"score_gpt":0.4205039892347284,"score_spread":0.03943155164619411,"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."}}