{"id":"W7057216626","doi":"","title":"Handbook for New Actors in Space","year":2017,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Agência Espacial Brasileira; China National Space Administration; Belgian Federal Science Policy Office; Agencia Espacial Mexicana; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; UK Space Agency; National Academy of Sciences of Belarus; Ministry of Science, ICT and Future Planning; Secure World Foundation; National Science Council; U.S. Department of State; U.S. Department of Transportation","keywords":"Space (punctuation); Commoditization; Variety (cybernetics); Geopolitics; Cold war; Space technology; Power (physics); Space industry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002657026,0.0002204325,0.0002901848,0.0002814205,0.0007418693,0.0006681731,0.001224164,0.0001022671,0.01211076],"category_scores_gemma":[0.0001442457,0.0002420023,0.0001669309,0.0002079331,0.0002115863,0.0005333639,0.0007099931,0.0006157357,0.0001300693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005570263,"about_ca_system_score_gemma":0.0003841996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002800187,"about_ca_topic_score_gemma":0.001291567,"domain_scores_codex":[0.9983802,0.00008735064,0.0001954238,0.0004367272,0.0003108276,0.0005894013],"domain_scores_gemma":[0.9981428,0.0002693037,0.0001107834,0.0009179048,0.0001276139,0.0004316254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000533987,0.0007236997,0.1745928,0.00003882855,0.0001491168,0.00007764137,0.000215591,0.000009664089,0.00328272,0.5754634,0.03119185,0.2137208],"study_design_scores_gemma":[0.004823557,0.0002450768,0.07392582,0.00009088229,0.00005840982,5.365851e-7,0.00043938,0.000529317,0.00142522,0.002961763,0.9150695,0.0004305096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.225029,0.0001043423,0.01196304,0.01197083,0.0003137015,0.001455908,0.0001057456,0.00007760109,0.7489799],"genre_scores_gemma":[0.8266357,0.000006460085,0.001801905,0.00004102168,0.0001482998,0.000005164339,0.00002776284,0.0000209186,0.1713128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8838777,"threshold_uncertainty_score":0.9887923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545392039829701,"score_gpt":0.2656523845090857,"score_spread":0.2301984641107887,"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."}}