{"id":"W7065346397","doi":"","title":"Digital Economy. Emerging Technologies and Business Innovation:Second International Conference, ICDEc 2017, Sidi Bou Said, Tunisia, May 4–6, 2017, Proceedings","year":2017,"lang":"en","type":"book","venue":"University of Twente Research Information","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Emerging technologies; Emerging markets; Government (linguistics); Work (physics); Information technology","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":[0.0006176246,0.0009539611,0.0006703613,0.002455696,0.00081435,0.005163641,0.0005267052,0.001211227,0.05463961],"category_scores_gemma":[0.001223273,0.00029231,0.0002509192,0.003354858,0.0006303221,0.004135064,0.001552723,0.001698855,0.02579848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081066,"about_ca_system_score_gemma":0.002823167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005081708,"about_ca_topic_score_gemma":0.01325712,"domain_scores_codex":[0.9997119,0.00002749844,0.00001358085,0.00003336196,0.0001673232,0.00004623226],"domain_scores_gemma":[0.9996039,0.0001025565,0.00003080263,0.0000314746,0.0001336749,0.0000975962],"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":[0.00001548451,0.00001768202,0.0001695573,0.0003075953,0.000004419193,0.00003437159,0.00006638656,0.0001524876,0.0003926657,0.008131006,0.7502381,0.2404704],"study_design_scores_gemma":[0.000002588635,0.000006629034,0.000555146,0.0002224246,0.000003744929,0.00008258818,0.0001021788,0.0001767944,0.0002246886,0.00224006,0.9963787,0.00000446519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00330359,0.3495674,0.009427641,0.02507595,0.0264234,0.0001192623,0.003863042,0.001775572,0.5804442],"genre_scores_gemma":[0.01271129,0.1144151,0.003419612,0.002033732,0.002838433,0.00007677353,0.002956694,0.0003517973,0.8611966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05463961,"threshold_uncertainty_score":0.1827877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596480465999471,"score_gpt":0.2820316091303504,"score_spread":0.2460668044703557,"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."}}