{"id":"W4241205328","doi":"10.1520/stp49359t","title":"In Situ Studies of Variant Selection During the α—β—α Phase Transformation in Zr-2.5Nb","year":2010,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"In situ; Transformation (genetics); Selection (genetic algorithm); Phase (matter); Materials science; Computer science; Chemistry; Artificial intelligence; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004308012,0.0001731237,0.0002602762,0.0001910025,0.00005790664,0.00005194735,0.0002526449,0.0001391289,0.0007536124],"category_scores_gemma":[0.00002898159,0.000124701,0.00005670888,0.00001127025,0.000129846,0.0001707789,0.00006484977,0.0002427356,0.00006335054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009394738,"about_ca_system_score_gemma":0.00004283735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000094964,"about_ca_topic_score_gemma":0.0008835425,"domain_scores_codex":[0.9988137,0.00003288581,0.0005417204,0.0001926227,0.0002898907,0.0001291586],"domain_scores_gemma":[0.999457,0.00004523062,0.0002338378,0.000116743,0.0001308533,0.00001630797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002439662,0.00002144129,0.000001251546,0.00007454593,0.00002738189,0.000009663127,0.00286679,0.00001602674,0.9495847,0.04631265,0.00001614869,0.0008255045],"study_design_scores_gemma":[0.001579134,0.0001301791,0.0001340199,0.0005313325,0.00002516798,0.00006510998,0.0002045314,0.00005884616,0.936888,0.0287942,0.03128094,0.0003085764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7907873,0.00008745368,0.00001738891,0.0003304153,0.001793664,0.0003620328,0.00006135856,0.00002496207,0.2065354],"genre_scores_gemma":[0.9641541,0.00006029539,0.0001029781,0.00006814206,0.000225719,0.00002490524,0.00000773148,0.00002478747,0.03533137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733668,"threshold_uncertainty_score":0.8251528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635202457836589,"score_gpt":0.2802481728015436,"score_spread":0.2538961482231777,"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."}}