{"id":"W2531980795","doi":"10.14288/1.0167189","title":"Laser-induced thermoelectric energy generation using carbon nanotube forests","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Carbon nanotube; Materials science; Laser; Thermoelectric effect; Energy (signal processing); Carbon fibers; Engineering physics; Environmental science; Nanotechnology; Physics; Optics; Composite material","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":[0.00005405051,0.0001160096,0.0001458153,0.0001320596,0.0001483371,0.000231382,0.000173497,0.0001719433,0.0004896387],"category_scores_gemma":[0.0001099381,0.0001234081,0.0002008099,0.0001273306,0.0001583903,0.0002219192,0.0001324311,0.000138874,0.0001116114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253235,"about_ca_system_score_gemma":0.0002096189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007091532,"about_ca_topic_score_gemma":0.001147033,"domain_scores_codex":[0.999961,0.000003084267,0.000001503504,0.000007924593,0.00001784929,0.000008528116],"domain_scores_gemma":[0.9999565,0.00002058171,0.000008563171,0.000004480659,0.000006349247,0.000003593697],"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":[0.00006102957,0.00005527799,0.0008926701,0.0001196315,0.00001117315,0.000221529,0.00007332599,0.04527161,0.9407347,0.003447665,0.0001737823,0.0089376],"study_design_scores_gemma":[0.0000271259,0.0001519035,0.001599312,0.00001561815,0.00001000343,0.0001323991,0.00002747739,0.4162678,0.5785308,0.0008627826,0.002352902,0.00002182897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729293,0.0003300693,0.02267501,0.00007560887,0.00002812922,0.00002482059,0.00009252783,0.0001196783,0.003724811],"genre_scores_gemma":[0.9896626,0.0001850512,0.009139955,0.000008980604,0.000002926465,0.00001930581,0.00004027485,0.000008865877,0.00093207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007091532,"threshold_uncertainty_score":0.002360404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360877808657931,"score_gpt":0.2005299199197159,"score_spread":0.1769211418331366,"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."}}