{"id":"W4232033373","doi":"10.1520/mnl12115r","title":"Learning from History: A Case Study in Nuclear Fuel","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Deep River Science Academy","funders":"","keywords":"Nuclear engineering; History; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892675,0.0006447616,0.0006133608,0.002589969,0.02644372,0.007379019,0.003422242,0.007863423,0.01373096],"category_scores_gemma":[0.008191396,0.0004756704,0.0005631174,0.004558188,0.009378049,0.009334008,0.006291798,0.005676469,0.001322708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009234417,"about_ca_system_score_gemma":0.003903859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073859,"about_ca_topic_score_gemma":0.09277651,"domain_scores_codex":[0.9966075,0.002190379,0.00007392848,0.0001741075,0.0004002932,0.0005538579],"domain_scores_gemma":[0.9951459,0.003410465,0.0002598362,0.000153614,0.0002594514,0.0007708573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007366546,0.000474043,0.006499619,0.0004010108,0.0000216785,0.08740027,0.7050639,0.0007679716,0.0005164857,0.1025286,0.02450087,0.0717519],"study_design_scores_gemma":[0.00000894106,0.0000899709,0.0016603,0.0003869643,0.00001164873,0.01425315,0.643937,0.0003910495,0.0004035251,0.01297754,0.3258486,0.00003133525],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5951544,0.01046275,0.006718049,0.04750812,0.0007435198,0.0002805236,0.0002759053,0.0001080872,0.3387486],"genre_scores_gemma":[0.8957947,0.01045052,0.004987726,0.004953353,0.0002416284,0.000128543,0.0001617658,0.0001577017,0.08312402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02644372,"threshold_uncertainty_score":0.06700069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249341859956564,"score_gpt":0.1963536058028047,"score_spread":0.173860187203239,"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."}}