{"id":"W7028421504","doi":"","title":"An evaluation of uplift mapping languages","year":2017,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06132891,0.001134782,0.001260132,0.006863657,0.00271933,0.009301182,0.00492509,0.001744265,0.02353352],"category_scores_gemma":[0.2398015,0.0007570382,0.0008963144,0.00710335,0.002811321,0.01108168,0.01096314,0.001490993,0.008035802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929178,"about_ca_system_score_gemma":0.009744493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009200585,"about_ca_topic_score_gemma":0.01027479,"domain_scores_codex":[0.9225845,0.03692059,0.00523666,0.004028135,0.02992959,0.001300546],"domain_scores_gemma":[0.6572798,0.1735089,0.01020469,0.0562483,0.09906745,0.003690671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006879679,0.002516293,0.01709376,0.007155697,0.0005559451,0.0007613804,0.01897183,0.0113981,0.0149103,0.02963217,0.05893473,0.83119],"study_design_scores_gemma":[0.004904565,0.008593611,0.03937615,0.004099511,0.001651837,0.002001995,0.06000601,0.1058192,0.08141563,0.04149459,0.6497237,0.0009132035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6360473,0.00233312,0.1476918,0.005632777,0.001502637,0.007181164,0.01383796,0.04522768,0.1405455],"genre_scores_gemma":[0.6860705,0.001560514,0.2440425,0.001339923,0.000249627,0.003174314,0.01997504,0.008765561,0.03482211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06132891,"threshold_uncertainty_score":0.3243422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798141479512855,"score_gpt":0.3287588917830801,"score_spread":0.1489447438317946,"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."}}