{"id":"W2959749669","doi":"10.1016/j.dib.2019.104247","title":"Data supporting micromechanical models for the estimation of Young's modulus and coefficient of thermal expansion of titanate nanotube/Y2W3O12/HDPE ternary composites","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Thermal Expansion and Ionic Conductivity","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Escuela Politécnica Nacional; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"High-density polyethylene; Thermal expansion; Materials science; Composite material; Ternary operation; Titanate; Nanotube; Composite number; Thermal; Modulus; Work (physics); Polyethylene; Thermodynamics; Ceramic; Computer science; Carbon nanotube; Physics","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":[0.001248874,0.00009260893,0.0002632464,0.00004048175,0.00003787978,0.00001601813,0.0008708753,0.00004765147,0.0001130625],"category_scores_gemma":[0.000126983,0.00006704994,0.00001978644,0.00008885486,0.0001158445,0.0005364615,0.001038691,0.00005848734,0.000002444613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000972356,"about_ca_system_score_gemma":0.00005614187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005830873,"about_ca_topic_score_gemma":0.00002825282,"domain_scores_codex":[0.998755,0.00006857789,0.0004632302,0.0003474749,0.0002164944,0.0001491874],"domain_scores_gemma":[0.9981247,0.0002040498,0.0003076716,0.001282054,0.00005736808,0.00002412939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001359913,0.00009534541,0.0001186685,0.0001026552,0.00000682566,4.826336e-7,0.0002053972,0.003741403,0.9906654,0.0009307758,0.00009177086,0.003905253],"study_design_scores_gemma":[0.0004696029,0.00007406731,0.001219575,0.0000746183,0.00001796358,0.000005340728,0.000141193,0.7250584,0.2726872,0.0001308742,0.00005540513,0.00006568338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812956,0.000147682,0.01473904,0.0001134306,0.0002283457,0.0004251309,0.003015172,0.000008348444,0.00002727888],"genre_scores_gemma":[0.9957072,0.00001308367,0.003767285,0.00002237489,0.000008154136,0.000003384904,0.0004471662,0.000009247564,0.00002217508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7213171,"threshold_uncertainty_score":0.2734217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757094090864314,"score_gpt":0.3030537142918249,"score_spread":0.2554827733831818,"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."}}