{"id":"W7093979679","doi":"","title":"S&TR Preview: Investing in the Nation’s Future","year":2018,"lang":"","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"International Science and Diplomacy","field":"Social Sciences","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":[0.001351392,0.0006019604,0.0003895049,0.001261005,0.001763678,0.008296818,0.0009910625,0.003171381,0.5090898],"category_scores_gemma":[0.003490576,0.000264562,0.0004596392,0.001448995,0.0005832137,0.003303396,0.001938118,0.002863194,0.3011152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408492,"about_ca_system_score_gemma":0.005849076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004549352,"about_ca_topic_score_gemma":0.01257022,"domain_scores_codex":[0.9991393,0.00005179735,0.00002153234,0.0000716619,0.000516895,0.0001987399],"domain_scores_gemma":[0.9978623,0.0002164478,0.0001004906,0.0001433136,0.0006709837,0.001006448],"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":[0.000006778883,0.000006857371,0.00002601609,0.00002509341,3.653944e-7,0.0000117463,0.000009131776,0.00001054228,0.00004271946,0.001600843,0.9900401,0.008219901],"study_design_scores_gemma":[0.000004226349,0.000006948827,0.0001863806,0.00003755233,6.548148e-7,0.00001075054,0.00002782737,0.00001992727,0.00007773449,0.0007399563,0.9988851,0.000002880229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007450446,0.002162124,0.0007194532,0.02206194,0.01816001,0.0001291115,0.008510073,0.002840043,0.9446723],"genre_scores_gemma":[0.004297673,0.001768833,0.0004571708,0.004934258,0.003792487,0.00007677454,0.003734433,0.001273044,0.9796652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5090898,"threshold_uncertainty_score":0.7002239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590477166341669,"score_gpt":0.2934326383929025,"score_spread":0.2675278667294858,"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."}}