{"id":"W4248487403","doi":"10.1007/bf02719730","title":"Edge-to-edge plane matching as a criterion for interphase boundaries of low energy","year":2006,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Faceting; Enhanced Data Rates for GSM Evolution; Facet (psychology); Plane (geometry); Geometry; Maxima and minima; Transformation (genetics); Matching (statistics); Interphase; Materials science; Condensed matter physics; Physics; Chemistry; Mathematics; Computer science; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000219396,0.0001722136,0.0004138896,0.00006363888,0.0002620602,0.0003447136,0.0001176185,0.0000964085,0.002512787],"category_scores_gemma":[0.00001240035,0.0001344071,0.0000820542,0.00006096845,0.0001739252,0.0001696059,0.00001978434,0.00003673992,0.00001759796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001244657,"about_ca_system_score_gemma":0.00003502325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900526,"about_ca_topic_score_gemma":0.0002374981,"domain_scores_codex":[0.9988126,0.00005759242,0.0004523875,0.0003032068,0.000117808,0.0002563738],"domain_scores_gemma":[0.9995882,0.00004462847,0.00007670697,0.0001347141,0.0000606503,0.00009512275],"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":[0.0005309437,0.00008803164,1.54543e-8,0.0001600009,0.00001154156,0.0000047225,0.0001547736,0.0000292066,0.9923781,0.005539573,0.00008659133,0.001016467],"study_design_scores_gemma":[0.0005423063,0.0002542369,0.000006742245,0.00007147986,0.00005710973,0.00007780793,0.00005037139,0.00002611233,0.9434543,0.008791097,0.04648953,0.0001788793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6432264,0.000169505,0.3553049,0.0001476103,0.0006055447,0.000182232,0.0002414442,0.00004619882,0.00007615787],"genre_scores_gemma":[0.9943848,0.00002522408,0.004017127,0.0001795867,0.0001161623,0.00008513975,0.00003367715,0.00001903882,0.001139299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512877,"threshold_uncertainty_score":0.9983991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008877943628218643,"score_gpt":0.2320891574914243,"score_spread":0.2232112138632057,"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."}}