{"id":"W2329753344","doi":"10.4133/sageep.28-075","title":"CHARACTERIZATION OF AN SIP SAMPLE HOLDER: LESSONS FROM EXPERIMENT","year":2015,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Characterization (materials science); Sample (material); Computer science; Materials science; Nanotechnology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121067,0.001369705,0.001486555,0.0009232321,0.001024478,0.002773526,0.004710368,0.002645388,0.002505523],"category_scores_gemma":[0.0212988,0.0008354585,0.0009330933,0.0008396691,0.003941185,0.004438175,0.002336517,0.005121931,0.002369682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154347,"about_ca_system_score_gemma":0.001531123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187872,"about_ca_topic_score_gemma":0.001503157,"domain_scores_codex":[0.9947976,0.001239623,0.0003063444,0.0008639595,0.002548603,0.0002439187],"domain_scores_gemma":[0.9878488,0.003956034,0.0003901389,0.002806415,0.004326588,0.0006721977],"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":[0.0005157649,0.001345998,0.007867867,0.005140284,0.0002005137,0.002497746,0.003645221,0.02538126,0.5289494,0.05676265,0.01637446,0.3513188],"study_design_scores_gemma":[0.0001600106,0.003064432,0.005708931,0.001275739,0.0001373967,0.004445361,0.002089149,0.04252476,0.6815184,0.05517167,0.2034518,0.0004523854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05865148,0.01187306,0.904673,0.01041655,0.001536131,0.0009826645,0.0006633999,0.001755318,0.009448499],"genre_scores_gemma":[0.1920918,0.01185748,0.783506,0.001557399,0.0006591024,0.000876501,0.0006892962,0.0009882614,0.007774194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0121067,"threshold_uncertainty_score":0.06402713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009317707554184842,"score_gpt":0.1972993397473204,"score_spread":0.1879816321931355,"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."}}