{"id":"W2593051487","doi":"10.1149/ma2010-02/40/2268","title":"SnO<sub>2</sub>/NiO Composite Thin Films for Formaldehyde Detection","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Formaldehyde; Non-blocking I/O; Composite number; Materials science; Thin film; Chemical engineering; Nanotechnology; Composite material; Chemistry; Organic chemistry; Catalysis; Engineering","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":[0.0001021908,0.0004584289,0.0002509359,0.0002479264,0.000247986,0.0002681694,0.0003000177,0.000334651,0.003320276],"category_scores_gemma":[0.0001324676,0.0001976535,0.000156249,0.0001465917,0.00009140479,0.0003807661,0.0001290891,0.0002400741,0.0005680911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205515,"about_ca_system_score_gemma":0.0001524972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878571,"about_ca_topic_score_gemma":0.008901959,"domain_scores_codex":[0.9999315,0.000006319862,0.000003107372,0.0000141534,0.00003091153,0.0000140453],"domain_scores_gemma":[0.9999558,0.000008987455,0.000003679123,0.000003584508,0.00002004809,0.000007908696],"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":[0.0001498437,0.00001208596,0.00007136076,0.0000862393,0.000006571639,0.00002220904,0.000005152509,0.00005614284,0.9970372,0.000049944,0.000207695,0.002295636],"study_design_scores_gemma":[0.000007887662,0.0001225859,0.0006668792,0.000007653432,0.00002243014,0.00004123898,0.00001944712,0.0008859943,0.9960568,0.00002249735,0.002143496,0.000003162206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957572,0.01017831,0.0102743,0.0005734051,0.0005628295,0.000178843,0.000774125,0.0004148976,0.01947122],"genre_scores_gemma":[0.9713298,0.00350218,0.01023754,0.0001230781,0.00004893309,0.00004934322,0.0005064024,0.000053206,0.01414944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003320276,"threshold_uncertainty_score":0.01110744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007431526154453971,"score_gpt":0.1954919608524569,"score_spread":0.188060434698003,"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."}}