{"id":"W6913080157","doi":"10.5281/zenodo.840008","title":"Analysis Of Research And Innovation - Operational Report","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Innovation management; Research methodology; Technology innovation; Production (economics); Quantitative analysis (chemistry); Raw data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01988477,0.002136289,0.001470187,0.017251,0.001491281,0.008227319,0.002376674,0.001179404,0.01908694],"category_scores_gemma":[0.04807745,0.0007197333,0.001506435,0.02215528,0.0009798487,0.00416097,0.003085892,0.00159447,0.01836947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008928566,"about_ca_system_score_gemma":0.03533603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04203575,"about_ca_topic_score_gemma":0.01545415,"domain_scores_codex":[0.9498853,0.007613509,0.006659228,0.002398902,0.02892924,0.004513852],"domain_scores_gemma":[0.9173554,0.01979151,0.008808979,0.007259653,0.04370539,0.003079055],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001442791,0.000909448,0.1317769,0.00525509,0.0006337101,0.0003781098,0.001831753,0.01507949,0.003796958,0.1047006,0.481004,0.2531911],"study_design_scores_gemma":[0.0001080583,0.0003639018,0.1500961,0.0007039903,0.0001796594,0.0001968633,0.002743165,0.004900737,0.005295376,0.00938584,0.8259162,0.0001099598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0407481,0.001778503,0.0243458,0.001809267,0.0004481323,0.01078896,0.7122626,0.002340818,0.205478],"genre_scores_gemma":[0.08706599,0.002330685,0.05511181,0.0004393887,0.0002574702,0.0101015,0.8150365,0.0009910335,0.02866555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9801152,"threshold_uncertainty_score":0.105162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2716555752814648,"score_gpt":0.4467789375663649,"score_spread":0.1751233622849001,"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."}}