{"id":"W2081477182","doi":"10.1016/j.sbspro.2012.09.1057","title":"About Efficiency of Innovations: What Can be Learned from the Innovation Union Scoreboard Index","year":2012,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"European Commission","keywords":"Index (typography); Business; Industrial organization; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000978102,0.00009270266,0.0001590108,0.0001905494,0.0005914053,0.0001467857,0.0001917313,0.00009218548,0.00005440264],"category_scores_gemma":[0.0001129558,0.00007256687,0.00002465024,0.002217673,0.0005361665,0.0008687675,0.000056295,0.0001199468,0.000005622679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659507,"about_ca_system_score_gemma":0.00006642433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885364,"about_ca_topic_score_gemma":0.00007387251,"domain_scores_codex":[0.9989967,0.00001564873,0.0004554829,0.0001906363,0.00009782138,0.0002437181],"domain_scores_gemma":[0.9993553,0.00003352336,0.0003982169,0.00006488664,0.0001209936,0.00002710657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004209681,0.00009412279,0.5449877,0.000006322545,0.000003333769,2.990571e-8,0.008819294,6.586061e-7,0.0002146698,0.4333929,0.0002137609,0.01226299],"study_design_scores_gemma":[0.0005078854,0.0001518371,0.9010237,0.00003886295,0.00001222248,0.000001078243,0.01057885,0.0001083706,0.001350946,0.07773469,0.008107108,0.0003844005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920737,0.0006795414,0.0001344493,0.005688448,0.0004362545,0.0001401253,0.00005747965,0.00001633985,0.0007736376],"genre_scores_gemma":[0.9984194,0.0001073676,0.0001041225,0.0009472892,0.0002934167,0.00001838654,0.00003065951,0.000004820667,0.00007452173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.356036,"threshold_uncertainty_score":0.4548672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2022905869860762,"score_gpt":0.3424006167909521,"score_spread":0.1401100298048759,"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."}}