{"id":"W2809909752","doi":"10.1063/1.5033966","title":"Measuring the thermal properties of anisotropic materials using beam-offset frequency domain thermoreflectance","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Thermal properties of materials","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Anisotropy; Thermal conductivity; Optics; Thermal; Beam (structure); Offset (computer science); Optoelectronics; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997963,0.0007094723,0.0003623394,0.001078478,0.0003036394,0.0003833247,0.0003833274,0.0004276912,0.001667968],"category_scores_gemma":[0.0005728599,0.0003422326,0.0002469711,0.00113358,0.000488636,0.0005964357,0.0003169393,0.0006724685,0.0003573481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196323,"about_ca_system_score_gemma":0.0001280845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006793251,"about_ca_topic_score_gemma":0.001539442,"domain_scores_codex":[0.9997099,0.00003013254,0.0000163039,0.0000800543,0.0001319329,0.00003164405],"domain_scores_gemma":[0.9995607,0.0001497504,0.0000930148,0.00009678007,0.0000869033,0.00001282131],"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":[0.00003557897,0.00001491959,0.0007457978,0.0000748802,0.00001220719,0.00002630539,0.00004373259,0.000326365,0.9952178,0.0001056855,0.00007386341,0.003322874],"study_design_scores_gemma":[0.000005173033,0.00004603306,0.005341477,0.000008838793,0.0000176695,0.00009622345,0.00004399414,0.005258665,0.9883045,0.0001009287,0.0007567215,0.0000197616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638054,0.0009331829,0.03059501,0.00007363609,0.00004674827,0.00004499739,0.0009359248,0.0005760231,0.002988942],"genre_scores_gemma":[0.9667552,0.0009701718,0.03061175,0.00005924942,0.00001889495,0.00009092013,0.0004609782,0.0001054081,0.000927541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001667968,"threshold_uncertainty_score":0.005579948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866424285866158,"score_gpt":0.240892982589963,"score_spread":0.1922287397313014,"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."}}