{"id":"W1966646297","doi":"10.1063/1.1922584","title":"Effect of grain boundaries on hydrocarbon sensing in Fe-doped p-type semiconducting perovskite SrTiO3 films","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sapphire; Materials science; Grain boundary; Conductivity; Depletion region; Pulsed laser deposition; Analytical Chemistry (journal); Thin film; Thermal conduction; Propane; Doping; Relaxation (psychology); Electrical resistivity and conductivity; Ionic conductivity; Microstructure; Condensed matter physics; Electrode; Composite material; Optoelectronics; Chemistry; Layer (electronics); Nanotechnology; Optics; Electrolyte; Physical chemistry; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004128983,0.0001985684,0.0004977125,0.0001034335,0.00005295034,0.00006846528,0.00007688966,0.0000773432,0.000003578909],"category_scores_gemma":[0.00003147778,0.0001751364,0.00009126476,0.0002030524,0.00005702517,0.00009902341,0.00001362238,0.0002848634,0.000005627154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007865147,"about_ca_system_score_gemma":0.00002814098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000776262,"about_ca_topic_score_gemma":0.000003352114,"domain_scores_codex":[0.9988973,0.00004309835,0.0005105444,0.000100264,0.0002204158,0.0002284174],"domain_scores_gemma":[0.9994291,0.0001070379,0.0002343738,0.0001335015,0.00004660065,0.00004936199],"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":[0.0001683442,0.00002024463,0.00001893526,0.00006662286,0.00003678906,0.000009045057,0.0009490063,0.2202386,0.7728018,0.00006083853,0.000157796,0.005472027],"study_design_scores_gemma":[0.0007976672,0.0002185239,0.00005875843,0.0001674116,0.00003729168,0.00002477509,0.00009091411,0.05307411,0.9447788,0.0001869993,0.0004000723,0.0001646483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979705,0.00004537368,0.00003779507,0.00001144711,0.0006799872,0.0000960722,0.00000150223,0.00003108256,0.001126228],"genre_scores_gemma":[0.9981892,0.0000155096,0.001291822,0.0000253051,0.000422974,1.902512e-7,0.000002022377,0.00004385043,0.000009100617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1719771,"threshold_uncertainty_score":0.7141854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007842693122977739,"score_gpt":0.2169757045527147,"score_spread":0.2091330114297369,"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."}}