{"id":"W2051362204","doi":"10.4028/www.scientific.net/msf.519-521.1391","title":"Electrical Resistivity Measurements: A Sensitive Tool for Studying Aluminium Alloys","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Copper Interconnects and Reliability","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical resistivity and conductivity; Materials science; Alloy; Microstructure; Aluminium; Dislocation; Metallurgy; Characterization (materials science); Electrical conductor; Composite material; Nanotechnology; Electrical engineering","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":[0.004937013,0.0002665717,0.0004177729,0.0001429999,0.0009035533,0.0006350782,0.0005937603,0.00008812336,0.0002186634],"category_scores_gemma":[0.0007082942,0.0002095198,0.00009418633,0.0003893432,0.0006813254,0.0006071516,0.0002923257,0.00006422346,0.0001099472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250977,"about_ca_system_score_gemma":0.0002802487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000481732,"about_ca_topic_score_gemma":0.000102093,"domain_scores_codex":[0.9963344,0.0001582315,0.0005853056,0.0009539899,0.0008391365,0.00112892],"domain_scores_gemma":[0.9985089,0.0001842933,0.0001958004,0.0005061484,0.0005003946,0.0001044516],"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":[0.0001552504,0.0001626779,0.0006399429,0.00002201203,0.000003073066,0.000002757502,0.00006010272,0.00001950496,0.9954864,0.001523071,0.001643137,0.0002820635],"study_design_scores_gemma":[0.0004758671,0.0002493491,0.01005082,0.00003205377,0.00002005016,0.00001047248,0.00009510569,0.0001048279,0.9861602,0.001471234,0.001012628,0.0003173713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929785,0.00002021711,0.002445482,0.0007165044,0.001948516,0.0009893504,0.0001247999,0.0001545558,0.0006220774],"genre_scores_gemma":[0.9957415,0.000001040538,0.00339979,0.0002362517,0.0002687956,0.0001303539,0.000007950031,0.00002083396,0.0001935018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00941088,"threshold_uncertainty_score":0.8543969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907211811337686,"score_gpt":0.2782045685815647,"score_spread":0.2491324504681878,"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."}}