{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860538,0.00156538,0.0007975054,0.003529774,0.0005713478,0.002109179,0.001789726,0.001687775,0.03087845],"category_scores_gemma":[0.004940828,0.0004116659,0.001145703,0.00562939,0.000302825,0.001239785,0.00148908,0.001256176,0.03807061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476033,"about_ca_system_score_gemma":0.001925128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03432752,"about_ca_topic_score_gemma":0.05069095,"domain_scores_codex":[0.9990624,0.0001203174,0.0001013329,0.0002174263,0.0003056139,0.0001929636],"domain_scores_gemma":[0.9979916,0.0004910475,0.0002800239,0.0003047179,0.0007372801,0.0001954173],"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":[0.00009510482,0.00003653204,0.004911744,0.0005871763,0.00004935743,0.00005746277,0.00002304803,0.001902448,0.0002123739,0.001034665,0.9853763,0.005713856],"study_design_scores_gemma":[0.0002119232,0.0000536813,0.01355391,0.0002919544,0.00004226904,0.00009954719,0.0001095938,0.003775812,0.0005316893,0.001742186,0.9795454,0.00004200695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005013055,0.0001018974,0.0001190724,0.000125549,0.00002910745,0.00001068135,0.9977052,0.0003299689,0.001077272],"genre_scores_gemma":[0.000912712,0.00006341379,0.0002524175,0.00007072013,0.000009295768,0.0000372752,0.9981188,0.00002835537,0.0005070428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03432752,"threshold_uncertainty_score":0.1032987,"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."}}