{"id":"W2083930142","doi":"10.1016/j.snb.2010.05.056","title":"CO sensitive nanocrystalline LaCoO3 perovskite sensor prepared by high energy ball milling","year":2010,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crystallite; Nanocrystalline material; Materials science; Ball mill; Grain size; Desorption; Specific surface area; Grain boundary; Adsorption; Analytical Chemistry (journal); Chemical engineering; Perovskite (structure); Nanotechnology; Microstructure; Composite material; Catalysis; Metallurgy; Chemistry; Physical chemistry; Chromatography; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001230229,0.0004830853,0.0005464704,0.0000860443,0.0001246715,0.0001222897,0.0001082585,0.0004072451,0.00008592942],"category_scores_gemma":[0.00006932332,0.0004515277,0.000114767,0.0001237229,0.0001964105,0.0001091172,0.00003325436,0.0003434253,0.00001935713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003944718,"about_ca_system_score_gemma":0.00001489958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011694,"about_ca_topic_score_gemma":0.00001148874,"domain_scores_codex":[0.998099,0.00003866661,0.0004552393,0.0005191091,0.0002599499,0.0006280885],"domain_scores_gemma":[0.9990082,0.0001624229,0.00007422049,0.0003219245,0.00008264971,0.0003505526],"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":[0.00004253059,0.00002944835,0.00003543611,0.0000357247,0.00006117162,0.00004255058,0.0002741973,0.00007001869,0.9955313,0.0001884953,0.003162574,0.00052655],"study_design_scores_gemma":[0.0005885488,0.00003299206,0.0000395311,0.00002846304,0.00003743964,0.0001452213,0.000108958,0.007949712,0.9680685,0.00009647365,0.02232125,0.0005829224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976867,0.00005216841,0.0002163094,0.0001104693,0.0005079005,0.0001144482,0.0002081671,0.0004621124,0.0006417463],"genre_scores_gemma":[0.9960857,0.0001479308,0.002537698,0.0001365372,0.0003905017,0.000003635377,0.0001733156,0.0001176618,0.0004070396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02746282,"threshold_uncertainty_score":0.9997936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002466697341325366,"score_gpt":0.1736175716629243,"score_spread":0.1711508743215989,"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."}}