{"id":"W1993817955","doi":"10.1002/jemt.20412","title":"Contingency table techniques for three dimensional atom probe tomography","year":2007,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Sydney; Ontario Ministry of Natural Resources and Forestry","keywords":"Contingency table; Contingency; Table (database); Cluster analysis; Block (permutation group theory); Set (abstract data type); Value (mathematics); Computer science; Data mining; Statistics; Algorithm; Mathematics; Statistical physics; Biological system; Physics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598872,0.0002166883,0.0002497162,0.0004787963,0.0002387836,0.00009659014,0.000223638,0.0002308483,0.00002393458],"category_scores_gemma":[0.000035837,0.0002149691,0.00004180022,0.0004855512,0.0002232621,0.0003097045,0.0001203228,0.0003019984,0.000001928565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006767424,"about_ca_system_score_gemma":0.00002847056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002226923,"about_ca_topic_score_gemma":0.00003176871,"domain_scores_codex":[0.9983361,0.00002025958,0.0003581046,0.0003377504,0.000225538,0.0007222022],"domain_scores_gemma":[0.9990411,0.0001450441,0.00004218562,0.0002888839,0.0003427347,0.000140075],"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":[0.00006350283,0.00003518712,0.0003144913,0.0001949561,0.00001060409,0.000004039098,0.00001679555,4.205957e-7,0.9883443,0.003313337,0.001487781,0.006214586],"study_design_scores_gemma":[0.0001161554,0.0002249578,0.0001393219,0.0001183067,0.000002445042,0.000009973302,0.000005296738,0.00005022,0.9178328,0.04257273,0.03871513,0.0002126392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03591077,0.0004590104,0.9575267,0.00003316805,0.0000700949,0.002887405,0.00009516114,0.002000036,0.001017631],"genre_scores_gemma":[0.3324726,0.0002347968,0.6641011,0.00004522645,0.0001764077,0.00253578,0.0001098592,0.0001530891,0.0001712113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2965618,"threshold_uncertainty_score":0.8766184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160166128783945,"score_gpt":0.3306458273547298,"score_spread":0.3090441660668903,"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."}}