{"id":"W2009294301","doi":"10.1063/1.4891196","title":"Thermal conductivity of meso-porous germanium","year":2014,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Thermal properties of materials","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Thermal conductivity; Germanium; Materials science; Thermoelectric effect; Porosity; Conductivity; Thermoelectric materials; Thermal; Thermal conduction; Thermal diffusivity; Photoacoustic imaging in biomedicine; Monte Carlo method; Composite material; Analytical Chemistry (journal); Thermodynamics; Optoelectronics; Optics; Chemistry; Physics; Physical chemistry; Silicon","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":[0.00006979179,0.0001501287,0.0001139091,0.0001639957,0.00007602284,0.0001854242,0.000132374,0.0001538401,0.0006282775],"category_scores_gemma":[0.0002315274,0.00009654275,0.0001026495,0.0001077695,0.0002590826,0.0001617163,0.0001725219,0.0001361601,0.0001068088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725574,"about_ca_system_score_gemma":0.00007524807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003483023,"about_ca_topic_score_gemma":0.0003014949,"domain_scores_codex":[0.9999434,0.000004582011,0.000002796579,0.00001730912,0.00001818956,0.00001377289],"domain_scores_gemma":[0.9999214,0.00003286396,0.00001956318,0.000006424294,0.00001050516,0.000009186917],"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":[0.0000626397,0.000003370255,0.000356333,0.00003696243,0.000005550604,0.00004065188,0.00001710736,0.000806223,0.9977108,0.0001900277,0.00002139954,0.0007487913],"study_design_scores_gemma":[0.000005069105,0.00006903433,0.003126788,0.00000574361,0.000007589306,0.0001013035,0.00002576966,0.003135204,0.9930286,0.00007223539,0.0004154569,0.00000723369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971704,0.000275347,0.001375078,0.00001631136,0.000004943325,0.000003039775,0.0001556339,0.00002844459,0.0009708438],"genre_scores_gemma":[0.9993359,0.00008108874,0.0003084868,0.000003276539,5.522367e-7,0.000002174655,0.00006241707,0.000003096942,0.0002030006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006282775,"threshold_uncertainty_score":0.002101719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555564701351989,"score_gpt":0.2093798751097574,"score_spread":0.1938242280962376,"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."}}