{"id":"W7014702865","doi":"","title":"Prospective insights on R&D in ICT\\n2019 PREDICT Dataset","year":2019,"lang":"en","type":"other","venue":"Joint Research Centre (European Commission)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Productivity; Information and Communications Technology; Commission; Index (typography); Scrutiny; European union; Variety (cybernetics); Value (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004377554,0.001284982,0.0013936,0.004423986,0.0003032144,0.000426416,0.002625807,0.000523652,0.01571008],"category_scores_gemma":[0.002558226,0.001026388,0.0002721079,0.002032005,0.0005797766,0.0002642226,0.003027824,0.005774471,0.3575058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772646,"about_ca_system_score_gemma":0.0007348154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009568636,"about_ca_topic_score_gemma":0.001475459,"domain_scores_codex":[0.980462,0.0087636,0.001116665,0.002665424,0.004652183,0.002340186],"domain_scores_gemma":[0.9918097,0.0006078515,0.0005904388,0.005394466,0.0003743032,0.001223256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005208749,0.001533331,0.0009475244,0.0003460318,0.0001529651,0.001077346,0.0005051891,0.00001190972,0.0005401074,0.001288463,0.9921544,0.0009219146],"study_design_scores_gemma":[0.002557099,0.0003370917,0.006243434,0.005141017,0.00002343105,0.00001507259,0.0001670101,0.00003898965,0.0001389601,0.0001100652,0.9842239,0.001003955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000219993,0.0007798129,0.000002561852,0.0005597008,0.0006311861,0.005218429,0.009144422,0.0007428388,0.9827011],"genre_scores_gemma":[0.00443381,0.000422215,0.0001938538,0.00009971738,0.001231345,0.00004470472,0.0130526,0.004060871,0.9764609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3417957,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09669833959770986,"score_gpt":0.3584791074726995,"score_spread":0.2617807678749896,"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."}}