{"id":"W4241365943","doi":"10.26434/chemrxiv.10050575.v1","title":"Can Doping of Transition Metal Oxide Cathode Materials Increase Achievable Voltages with Multivalent Metals?","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Transition Metal Oxide Nanomaterials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Education, India","keywords":"Transition metal; Doping; Materials science; Valence (chemistry); Vanadium; Inorganic chemistry; Oxide; Metal; Oxygen; Chemical physics; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001891686,0.00083962,0.002180282,0.0003848107,0.00010716,0.0002378534,0.0007639722,0.0005087126,0.001418992],"category_scores_gemma":[0.0001191085,0.000707419,0.0003031245,0.0002298978,0.0003115347,0.0003704956,0.000316652,0.0002881267,0.0001215645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014758,"about_ca_system_score_gemma":0.0003810576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215927,"about_ca_topic_score_gemma":0.00006657443,"domain_scores_codex":[0.9951752,0.0006447734,0.001397488,0.00128149,0.0008263161,0.0006747062],"domain_scores_gemma":[0.9967943,0.0001859349,0.001141286,0.001330864,0.0003294024,0.0002181973],"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":[0.0005031677,0.0001987128,0.00003536567,0.002070028,0.0002430009,0.00003148005,0.0006690499,0.003757266,0.9923032,0.0001472522,0.00002681521,0.00001469543],"study_design_scores_gemma":[0.001094552,0.00009789021,0.002051182,0.0009757963,0.001064306,0.00002848342,0.0001340193,0.00005809024,0.9934573,0.000214717,0.00004420077,0.0007794622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933543,0.0003043723,0.00158743,0.0002191157,0.001218139,0.001524104,0.001373501,0.0002637764,0.0001552402],"genre_scores_gemma":[0.9878373,0.00007373153,0.01050409,0.0001207913,0.000160143,0.000251525,0.0007126491,0.0001397116,0.0002001289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008916656,"threshold_uncertainty_score":0.9995377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027183413127787,"score_gpt":0.2488211267150154,"score_spread":0.2285492925837375,"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."}}