{"id":"W2521679540","doi":"10.1016/j.bios.2016.09.079","title":"Titanium oxide thin films obtained with physical and chemical vapour deposition methods for optical biosensing purposes","year":2016,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Narodowym Centrum Nauki","keywords":"Biosensor; Materials science; Chemical vapor deposition; Titanium; Nanotechnology; Titanium oxide; Thin film; Physical vapor deposition; Vapour deposition; Deposition (geology); Chemical deposition; Oxide; Chemical engineering; Optoelectronics; Metallurgy","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":[0.0003129292,0.0004706435,0.0003281072,0.0004814244,0.000333341,0.0004816027,0.0005939342,0.0005646758,0.0008825008],"category_scores_gemma":[0.0004999828,0.0004591286,0.0004469084,0.0004138426,0.0003145309,0.0003639577,0.0002256421,0.000656007,0.0003393121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264971,"about_ca_system_score_gemma":0.0003695565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007400009,"about_ca_topic_score_gemma":0.001695987,"domain_scores_codex":[0.9997377,0.00002040405,0.0000239888,0.00004336518,0.0001322204,0.00004237638],"domain_scores_gemma":[0.9998679,0.00003009543,0.00002302546,0.00001584382,0.00005126323,0.00001187682],"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":[0.00001098214,0.000002744741,0.00001819926,0.00003690603,0.000002889667,0.00001356417,0.000007255912,0.0000109088,0.9992399,0.00004171374,0.00001471508,0.0006003454],"study_design_scores_gemma":[0.000003904898,0.00003152973,0.0002780381,0.00000226572,0.00001182008,0.00006334688,0.000007309781,0.0001447038,0.9985712,0.00001874832,0.0008640247,0.000003207459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390892,0.009784809,0.04146139,0.0004601914,0.0004813946,0.0001854493,0.000468711,0.0002007927,0.007868042],"genre_scores_gemma":[0.9456895,0.005056039,0.04005034,0.0001665087,0.0001091252,0.0001347869,0.0005965445,0.00007450076,0.008122687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008825008,"threshold_uncertainty_score":0.002952278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038552183128386,"score_gpt":0.2635767064894887,"score_spread":0.2531911846582048,"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."}}