{"id":"W7042280775","doi":"","title":"2020 PREDICT Dataset\\n\\n\\nProspective insights on R&D in ICT 2020 Dataset","year":2020,"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; Information and Communications Technology; Productivity; Index (typography); Commission; European union; Value (mathematics); Variety (cybernetics); Scrutiny","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":[0.003467617,0.001813339,0.0019079,0.002060625,0.0005434206,0.0006693515,0.004207147,0.0005595603,0.04480722],"category_scores_gemma":[0.005190284,0.001544512,0.0003203471,0.003784617,0.0008952377,0.000401406,0.006157191,0.008227069,0.2136626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529605,"about_ca_system_score_gemma":0.0008013797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344047,"about_ca_topic_score_gemma":0.003060871,"domain_scores_codex":[0.9748285,0.01114132,0.001663655,0.004026717,0.00563165,0.002708175],"domain_scores_gemma":[0.9895851,0.0007481948,0.0008073758,0.005726463,0.0002604974,0.002872389],"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":[0.000901087,0.001495927,0.0001935667,0.000396444,0.0002763585,0.009245869,0.0004745045,0.00001090473,0.0006794799,0.0003409013,0.9848596,0.001125368],"study_design_scores_gemma":[0.002558201,0.0004454209,0.001864813,0.003339421,0.00005768531,0.00003747212,0.0002212723,0.0001143166,0.0001505768,0.0001022654,0.9897098,0.001398749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004556739,0.001495466,0.000004873893,0.003425112,0.0005747442,0.004180831,0.1961509,0.0009433075,0.7931792],"genre_scores_gemma":[0.001869139,0.002598488,0.0007984426,0.0008569981,0.005436609,0.0001005778,0.4725826,0.007325497,0.5084317],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2847475,"threshold_uncertainty_score":0.9994612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0925246125346671,"score_gpt":0.3573433282344388,"score_spread":0.2648187156997717,"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."}}