{"id":"W7057384166","doi":"","title":"Karios, Moltex, See Progress in Funding; First Canadian SMR, an HTGR, Submits License Application to CNSC","year":2019,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; License; Confidentiality; Documentation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001210021,0.001287247,0.001180455,0.00129343,0.003142091,0.004476293,0.002370221,0.002360542,0.4894955],"category_scores_gemma":[0.002765628,0.0005688144,0.0007346408,0.000996763,0.001080713,0.002461817,0.003218742,0.003263763,0.3975918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006062839,"about_ca_system_score_gemma":0.01001145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04538783,"about_ca_topic_score_gemma":0.1014038,"domain_scores_codex":[0.9991228,0.00004707734,0.00001264673,0.0000837543,0.0005057137,0.0002280093],"domain_scores_gemma":[0.9979535,0.0001500462,0.000073231,0.0002865336,0.0005691882,0.0009674087],"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":[0.00007780487,0.00001618377,0.00004589603,0.0000891072,0.000007345269,0.00002218219,0.00001726849,0.0001218105,0.0006803531,0.01662516,0.9678072,0.0144897],"study_design_scores_gemma":[0.00004729493,0.00001728376,0.0002154979,0.00003898163,0.000007458842,0.00002540297,0.00002890924,0.0006473014,0.001223507,0.01090452,0.9868296,0.00001425801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001047968,0.001203242,0.003489784,0.00743383,0.002785098,0.0001512682,0.03554986,0.008498129,0.9398408],"genre_scores_gemma":[0.01521178,0.001292588,0.007568232,0.002312492,0.0006602649,0.0002633056,0.03039489,0.005478057,0.9368185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9546121,"threshold_uncertainty_score":0.7281728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104609060626011,"score_gpt":0.2681496932567461,"score_spread":0.2576887871941451,"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."}}