{"id":"W4324143150","doi":"10.3390/s23063103","title":"Laser Sintering of CNT/PZT Composite Film","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Selective laser sintering; Sintering; Piezoelectricity; Composite material; Lead zirconate titanate; Ceramic; Laser; Carbon nanotube; Dielectric; Laser power scaling; Composite number; Ferroelectricity; Optoelectronics; Optics","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":[0.0001001813,0.0002757827,0.0002277302,0.0002403019,0.0001715588,0.0001320544,0.0001771333,0.0002837129,0.002114355],"category_scores_gemma":[0.000184588,0.0001949939,0.0001798619,0.0003089548,0.0001137519,0.0002252481,0.00009866577,0.0003916466,0.0003175436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777358,"about_ca_system_score_gemma":0.0001541501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007066907,"about_ca_topic_score_gemma":0.002041934,"domain_scores_codex":[0.99991,0.000002544545,0.000005108449,0.00003207623,0.00003770578,0.0000126351],"domain_scores_gemma":[0.999916,0.00002693085,0.00001664033,0.000009170987,0.00002383685,0.000007371345],"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":[0.00002449571,0.000006835586,0.00006650906,0.00007648244,0.000002755194,0.00008865207,0.00001885581,0.0003723484,0.9976914,0.00008911447,0.0000838221,0.001478664],"study_design_scores_gemma":[0.000006332682,0.00005188831,0.0006468162,0.000005215982,0.000003885582,0.00003951141,0.00001196013,0.003310016,0.9950294,0.00002541123,0.0008662414,0.000003351377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866673,0.00151409,0.006820071,0.00008528686,0.0001643925,0.00005648402,0.0005205317,0.0002707388,0.003901014],"genre_scores_gemma":[0.9842864,0.001255845,0.01111378,0.00004246374,0.00002504374,0.00007921507,0.0003186263,0.00007999077,0.002798746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002114355,"threshold_uncertainty_score":0.007073224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144314580923959,"score_gpt":0.2253969327239428,"score_spread":0.2109654746315469,"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."}}