{"id":"W7099370898","doi":"","title":"NRC Senior Resident Inspector","year":2007,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sump (aquarium); Dominion; Plan (archaeology); Power station; Containment (computer programming); Nuclear power; Materials testing","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":["insufficient_payload"],"category_scores_codex":[0.003468055,0.0008243031,0.0005540438,0.002385661,0.003751345,0.003076656,0.002084665,0.002115462,0.6130462],"category_scores_gemma":[0.006636685,0.0007865794,0.0004598381,0.001350566,0.0005866704,0.001791347,0.002774779,0.002546512,0.325768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003249748,"about_ca_system_score_gemma":0.01570268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03602478,"about_ca_topic_score_gemma":0.0684583,"domain_scores_codex":[0.9976301,0.0001752487,0.0001221296,0.0004096591,0.001311365,0.0003513793],"domain_scores_gemma":[0.9878395,0.0002800214,0.0002634731,0.0005394235,0.008698937,0.002378684],"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":[0.00001636732,0.00002580654,0.0001412378,0.00003141011,5.911713e-7,0.00005220234,0.00003146752,0.00001124718,0.0001610404,0.0002057902,0.9760565,0.02326638],"study_design_scores_gemma":[0.000007568854,0.00002363618,0.0009047673,0.00003412883,0.000001657061,0.0001090721,0.0002347973,0.00005028659,0.0001210175,0.00009383937,0.9984123,0.000006930558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006469672,0.003056863,0.007315179,0.07338811,0.04735123,0.002669599,0.01838132,0.01101906,0.830349],"genre_scores_gemma":[0.002870393,0.0006366627,0.001554878,0.005161529,0.001103935,0.0002070109,0.002075006,0.0005904775,0.9858001],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3869538,"threshold_uncertainty_score":0.5519426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118233717447822,"score_gpt":0.2843894239084402,"score_spread":0.273207086733962,"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."}}