{"id":"W2013125594","doi":"10.1007/s10854-013-1630-3","title":"Aluminum-doped zinc oxide powders: synthesis, properties and application","year":2013,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"ZnO doping and properties","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coprecipitation; Materials science; Doping; Electrical resistivity and conductivity; Zinc; Sintering; Conductivity; Percolation threshold; Photocatalysis; Composite material; Chemical engineering; Aluminium; Composite number; Oxide; Metallurgy; Chemistry; Catalysis; Organic chemistry; Physical chemistry; Optoelectronics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00512832,0.0002913825,0.0006849582,0.0003605659,0.0002746592,0.001178236,0.000915306,0.0001189291,0.0003776636],"category_scores_gemma":[0.0006661194,0.0002070085,0.00003629151,0.0003111579,0.0007731218,0.001772923,0.0002082451,0.0001332346,0.0001431974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649105,"about_ca_system_score_gemma":0.000543381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003905973,"about_ca_topic_score_gemma":0.00001588995,"domain_scores_codex":[0.9964839,0.0003350651,0.001235287,0.0004235063,0.000692891,0.0008293879],"domain_scores_gemma":[0.9981872,0.00008858179,0.00079211,0.0003661417,0.0004086509,0.0001573171],"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":[0.0001204807,0.0000545085,0.00005527388,0.00009597909,0.00000499816,0.000003211755,0.0003071783,0.0001779628,0.9982527,0.0004143385,0.00005589255,0.0004574175],"study_design_scores_gemma":[0.0002917018,0.0002323375,0.000691865,0.0002388166,0.00001893435,0.0001924807,0.0003682093,0.00008467498,0.9959745,0.001387923,0.0002474563,0.0002710748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970124,0.001018977,0.00006535234,0.0005650854,0.0007907288,0.0004409979,0.000008418161,0.00003915841,0.00005890704],"genre_scores_gemma":[0.9973884,0.0004534656,0.001653459,0.0001396449,0.0002057924,0.00008872561,7.934026e-7,0.00003031391,0.0000393878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004462201,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717098374915878,"score_gpt":0.23386175362555,"score_spread":0.2166907698763912,"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."}}