{"id":"W2886151800","doi":"10.1007/s11669-018-0666-8","title":"Critical Evaluation and Optimization of the Fe-N, Mn-N and Fe-Mn-N Systems","year":2018,"lang":"en","type":"article","venue":"Journal of Phase Equilibria and Diffusion","topic":"Metallurgical and Alloy Processes","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Rio Tinto; Doosan Heavy Industries and Construction; National Research Foundation; JFE Steel Corporation; Tata Steel","keywords":"Thermodynamics; Gibbs free energy; Ternary operation; Formalism (music); Phase diagram; Binary number; Materials science; Ternary numeral system; Phase (matter); Chemistry; Physics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009249959,0.00008467887,0.0002061046,0.00004462908,0.0001272206,0.0001221999,0.00008392958,0.00005373952,0.0001560205],"category_scores_gemma":[0.0006305169,0.00004744757,0.00002797281,0.00008236495,0.0002556631,0.000374683,0.00009491664,0.00005646581,8.071656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007592611,"about_ca_system_score_gemma":0.00004644757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004672305,"about_ca_topic_score_gemma":7.006814e-7,"domain_scores_codex":[0.9988508,0.0001613535,0.0003747294,0.0001239025,0.0003848346,0.0001043848],"domain_scores_gemma":[0.9990314,0.0001472599,0.0002515302,0.00007940316,0.0003828529,0.0001075762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001644433,0.0001119426,0.00007172014,0.000101193,0.000004568029,0.000001649342,0.0001511789,0.00002918182,0.9975543,0.0005206547,0.000115497,0.001173667],"study_design_scores_gemma":[0.008477922,0.002527865,0.00164647,0.001159554,0.000503393,0.0006906189,0.0005271699,0.7995495,0.1781636,0.00448204,0.00192171,0.0003502144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945554,0.001331488,0.003020362,0.0003788547,0.0004873091,0.0001102211,0.000007527399,0.000004216529,0.000104605],"genre_scores_gemma":[0.9987348,0.0001586247,0.0007456863,0.00003615562,0.0002712539,0.000001190232,0.000001010008,0.000005138928,0.00004608895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8193907,"threshold_uncertainty_score":0.1934856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216809024913586,"score_gpt":0.3306291304442909,"score_spread":0.2984610401951551,"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."}}