{"id":"W3118973341","doi":"","title":"ZnO-GaAs acoustic biosensors: Focus on ZnO thin film characterization","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Biosensor; Materials science; Microfabrication; Piezoelectricity; Raman spectroscopy; Characterization (materials science); Thin film; Nanotechnology; Optoelectronics; Wide-bandgap semiconductor; Dielectric spectroscopy; Optics; Electrode; Fabrication; Chemistry; 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":[0.000532502,0.0007708928,0.0006844564,0.00032809,0.0003158239,0.001193461,0.0008928304,0.001118968,0.002281564],"category_scores_gemma":[0.000676076,0.0003780595,0.0003149991,0.0003811444,0.000482794,0.0008599923,0.0004691098,0.000757403,0.00132652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006795064,"about_ca_system_score_gemma":0.0003696975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501422,"about_ca_topic_score_gemma":0.002272642,"domain_scores_codex":[0.9995936,0.00003460873,0.00001475922,0.0001481824,0.0001626761,0.00004621617],"domain_scores_gemma":[0.9997364,0.00008300222,0.00003480121,0.00003115408,0.00008941344,0.00002524965],"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":[0.00002798851,0.00001512597,0.0001630991,0.0001208345,0.000004685471,0.00003000743,0.00002673659,0.000067587,0.9946497,0.0003788383,0.0001609484,0.004354476],"study_design_scores_gemma":[0.000005324938,0.00009435799,0.001660195,0.00001998907,0.00001633154,0.0002423994,0.00006967894,0.002075965,0.9890766,0.0003754596,0.006354667,0.000008931032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5906377,0.05808425,0.3153777,0.00507885,0.001582691,0.0006657963,0.001280618,0.001626087,0.0256663],"genre_scores_gemma":[0.8475106,0.02117007,0.1040309,0.0006418996,0.0003920183,0.000200156,0.0005104197,0.0002902991,0.02525352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002281564,"threshold_uncertainty_score":0.007632613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356747204788848,"score_gpt":0.2182413129917973,"score_spread":0.2046738409439088,"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."}}