{"id":"W7052894294","doi":"","title":"S&TR Preview: Investing in the Nation’s Future","year":2018,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Work (physics); Government (linguistics)","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":[0.001387363,0.0006006025,0.0003360288,0.0009825114,0.00158701,0.007066625,0.000932967,0.003011698,0.382906],"category_scores_gemma":[0.002910113,0.000198374,0.0004624363,0.001066672,0.0006035946,0.003667224,0.001787901,0.002768207,0.2185003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438745,"about_ca_system_score_gemma":0.006651965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004296356,"about_ca_topic_score_gemma":0.01024732,"domain_scores_codex":[0.9990824,0.00005701444,0.00002365549,0.00008581013,0.0005267282,0.0002242428],"domain_scores_gemma":[0.9980951,0.0001357522,0.00007469015,0.0001313121,0.0006534393,0.0009096745],"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":[0.00001072951,0.000008480764,0.00003731305,0.00002409785,5.821669e-7,0.00001754778,0.000009893814,0.00001525664,0.00007634887,0.003224203,0.9841939,0.01238179],"study_design_scores_gemma":[0.000003471434,0.00000807208,0.0001663252,0.00003136755,8.52638e-7,0.0000163203,0.00003381873,0.00002198318,0.0000995578,0.0008724933,0.998743,0.000002751147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001169881,0.00338903,0.0008023082,0.0347098,0.02434216,0.00007168387,0.00563928,0.00242625,0.9274497],"genre_scores_gemma":[0.006207385,0.00267295,0.0005075997,0.00665289,0.003134147,0.000045085,0.003424007,0.001021176,0.9763349],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.382906,"threshold_uncertainty_score":0.8802096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156103644240667,"score_gpt":0.2178507783149077,"score_spread":0.206289741872501,"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."}}