{"id":"W4247470730","doi":"10.12943/anr.2013.0021","title":"Vol 2, no. 1","year":2014,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Bruce Power (Canada); Atomic Energy (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001159215,0.0006380599,0.0004222029,0.001420681,0.001054514,0.002815029,0.001099823,0.001764607,0.2275726],"category_scores_gemma":[0.0021204,0.0002790837,0.0006191048,0.001015628,0.0008014693,0.001427391,0.001540858,0.001087839,0.1395723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069028,"about_ca_system_score_gemma":0.00116112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009597286,"about_ca_topic_score_gemma":0.002516444,"domain_scores_codex":[0.9991243,0.0001578522,0.00006201384,0.0001510135,0.000433288,0.00007148363],"domain_scores_gemma":[0.9991307,0.0001179117,0.00007186659,0.000167326,0.0003626835,0.0001495908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001739121,0.000214392,0.002026458,0.001305534,0.00003980866,0.000833985,0.0002304569,0.0002859922,0.005024355,0.02453238,0.4555278,0.5098049],"study_design_scores_gemma":[0.000006169304,0.00005220904,0.000934395,0.0001934372,0.00000870071,0.0009106834,0.0001010366,0.00006629674,0.0006926219,0.001925301,0.995104,0.000005157479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01024659,0.1074701,0.003647228,0.01225982,0.03446314,0.0002140069,0.0005949633,0.000532729,0.8305714],"genre_scores_gemma":[0.02658558,0.03731655,0.002304271,0.004631853,0.005175496,0.0001001685,0.0008552434,0.0001700698,0.9228609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7724274,"threshold_uncertainty_score":0.7613061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110485596261741,"score_gpt":0.230883528887024,"score_spread":0.2198349692608499,"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."}}