{"id":"W2806646760","doi":"10.6027/tn2018-510","title":"More parallel, please!","year":2018,"lang":"en","type":"book","venue":"TemaNord","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Copenhagen Graduate School for Nanoscience and Nanotechnology; Nordisk Ministerråd; Universitetet i Oslo; Agence Universitaire de la Francophonie","keywords":"Computer science; Parallel computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003115557,0.000728448,0.0006016205,0.001239203,0.001909951,0.00592904,0.001014107,0.001522627,0.5670788],"category_scores_gemma":[0.002589196,0.000380172,0.000535278,0.001497939,0.0006170498,0.005263034,0.002092123,0.003785067,0.5611292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127504,"about_ca_system_score_gemma":0.0008509078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004718087,"about_ca_topic_score_gemma":0.008231137,"domain_scores_codex":[0.9995368,0.00004756443,0.00001801336,0.0000669071,0.0002849781,0.00004576378],"domain_scores_gemma":[0.9990467,0.0001363099,0.00004453994,0.0001076484,0.0005197864,0.0001449549],"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":[0.000006203692,0.000009851854,0.00001918188,0.00004319106,7.97147e-7,0.0000177501,0.00006674612,0.00001702686,0.00008243806,0.002749539,0.9692704,0.02771679],"study_design_scores_gemma":[0.00000106596,0.000002637326,0.00005562994,0.00003447267,3.80086e-7,0.00002236481,0.00003885959,0.000009543655,0.00002605007,0.0004281836,0.9993787,0.000002117753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001908484,0.001748606,0.001195762,0.004581838,0.008680956,0.00007583307,0.001048225,0.001474923,0.981003],"genre_scores_gemma":[0.0006549798,0.0005055828,0.0003289013,0.001381527,0.0007906232,0.00002188377,0.000522931,0.0006020741,0.9951916],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5670788,"threshold_uncertainty_score":0.6175096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810098332184335,"score_gpt":0.2356950302692789,"score_spread":0.2075940469474355,"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."}}