{"id":"W7054742700","doi":"","title":"\"Andrew Carnegie\" 107267","year":2018,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tonnage; Port (circuit theory); Scrap; Nuclear decommissioning; Maritime industry","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":[0.0003508115,0.0009489074,0.0002605827,0.001331337,0.002401478,0.002542487,0.0006336231,0.001030441,0.6362624],"category_scores_gemma":[0.0007749441,0.0002733722,0.0002169193,0.000841185,0.0006763925,0.001687032,0.002056086,0.001175571,0.4187436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192382,"about_ca_system_score_gemma":0.002405229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046687,"about_ca_topic_score_gemma":0.07604345,"domain_scores_codex":[0.999643,0.00002031824,0.000009923985,0.00008446351,0.000188893,0.00005343196],"domain_scores_gemma":[0.9996233,0.00001900084,0.00001878781,0.00003031682,0.0001735722,0.0001349617],"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":[0.00002608393,0.00001801506,0.0001645896,0.00005482315,0.000001056976,0.000132913,0.00004953326,0.00002529888,0.0007036378,0.008306915,0.9381137,0.05240339],"study_design_scores_gemma":[9.171981e-7,0.000003839083,0.0001709556,0.00001765439,2.876677e-7,0.00003898798,0.00001993907,0.00001338963,0.0001420284,0.0001728342,0.9994174,0.00000183679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006273888,0.0004610748,0.0003855975,0.001069865,0.0006320178,0.00004332469,0.0008883377,0.0005587807,0.9953335],"genre_scores_gemma":[0.001215758,0.0003180765,0.0001792795,0.0002221845,0.00004920401,0.000009347646,0.0003675968,0.0001319331,0.9975067],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6362624,"threshold_uncertainty_score":0.5188276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007278933475364721,"score_gpt":0.2098510049245545,"score_spread":0.2025720714491898,"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."}}