{"id":"W7053013829","doi":"","title":"From Warhorses to Warheads","year":2016,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Politics; Quarter (Canadian coin); Period (music); Domain (mathematical analysis); Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.001246839,0.000477387,0.0002310725,0.0008640679,0.005935018,0.006095378,0.0005732244,0.001315618,0.01404542],"category_scores_gemma":[0.00218924,0.000308883,0.0001661013,0.0008264131,0.01263649,0.005176839,0.005002111,0.003048538,0.001938084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458567,"about_ca_system_score_gemma":0.001199963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025002,"about_ca_topic_score_gemma":0.005829417,"domain_scores_codex":[0.9990951,0.0003449941,0.00002828346,0.0001282215,0.0001580019,0.0002454425],"domain_scores_gemma":[0.9993266,0.0002677804,0.000122426,0.00008116961,0.0001027107,0.0000992791],"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":[0.0001027187,0.00001601558,0.001666491,0.0001465677,0.00001371473,0.001112248,0.335027,0.0001449317,0.0008112811,0.6072963,0.02070991,0.0329528],"study_design_scores_gemma":[0.00001085695,0.00005009303,0.002132148,0.0004064253,0.00001202616,0.0004639938,0.2565672,0.0001121836,0.001022037,0.04895999,0.6902418,0.00002137062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2707888,0.006352394,0.003242813,0.01293304,0.001063885,0.00003091251,0.0001239904,0.00008559108,0.7053785],"genre_scores_gemma":[0.9236842,0.001773094,0.0002849777,0.001080047,0.0001359389,0.0000103689,0.00003756914,0.0000665808,0.07292727],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01404542,"threshold_uncertainty_score":0.04698658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009879191889940929,"score_gpt":0.2028929439232349,"score_spread":0.193013752033294,"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."}}