{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393955,0.001255781,0.0007794752,0.00471787,0.0005818459,0.002500082,0.001718143,0.001646763,0.0238273],"category_scores_gemma":[0.007564595,0.0004082931,0.001052453,0.008479481,0.0003065781,0.001364604,0.001824275,0.001073968,0.036377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062417,"about_ca_system_score_gemma":0.002546487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0399476,"about_ca_topic_score_gemma":0.05751425,"domain_scores_codex":[0.9979792,0.0002534514,0.0002233659,0.0004382174,0.0007296947,0.0003759763],"domain_scores_gemma":[0.9952382,0.001260427,0.0008903683,0.000711096,0.001553157,0.0003467577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001663607,0.00005765734,0.0199444,0.0008197547,0.00006422475,0.0001025398,0.00004446843,0.002274631,0.0003554336,0.00217388,0.9624119,0.01158474],"study_design_scores_gemma":[0.0001355618,0.00006376581,0.04327802,0.0004041819,0.00004935586,0.0001414821,0.0001588878,0.004234324,0.001046238,0.001649214,0.9487942,0.00004475123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001628085,0.0002191122,0.0002260786,0.000221281,0.00003513828,0.00001318338,0.9950945,0.0003649908,0.002197651],"genre_scores_gemma":[0.002217259,0.0001387197,0.0003388919,0.00008818207,0.00001665133,0.00004027694,0.995988,0.00003679571,0.001135287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0399476,"threshold_uncertainty_score":0.07971019,"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."}}