{"id":"W3023085196","doi":"10.1021/acscombsci.9b00181","title":"Development of High-Throughput Methods for Sodium-Ion Battery Cathodes","year":2020,"lang":"en","type":"article","venue":"ACS Combinatorial Science","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Coprecipitation; Chemistry; Cathode; Ion; Phase (matter); Battery (electricity); Ternary operation; Yield (engineering); Nanotechnology; Inorganic chemistry; Materials science; Physical chemistry; Computer science; Organic chemistry; Metallurgy; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008744008,0.0001480738,0.0002578529,0.00005034719,0.0001470557,0.00004641941,0.000540783,0.00004694373,0.00002077857],"category_scores_gemma":[0.0002932265,0.0001468645,0.00001816795,0.0003638669,0.0001646377,0.0003880458,0.0001832426,0.00005591368,0.00001154703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171212,"about_ca_system_score_gemma":0.00009788952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000263819,"about_ca_topic_score_gemma":2.096178e-7,"domain_scores_codex":[0.9986919,0.0000311939,0.0003885291,0.000293862,0.000265492,0.0003290507],"domain_scores_gemma":[0.9993918,0.0001331559,0.00007690077,0.0002062949,0.00009488726,0.00009698445],"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":[0.00002002826,0.00002019863,0.00001725701,0.0001030921,0.000008927552,2.92981e-7,0.001061346,0.000504617,0.9721513,0.01148098,0.0002345237,0.01439737],"study_design_scores_gemma":[0.0004706425,0.00005014359,0.0001350155,0.00001708465,0.000007096184,3.888184e-7,0.00003742264,0.0004029483,0.9824308,0.008129016,0.008137069,0.0001824395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5669227,0.00003669841,0.4235575,0.0001483769,0.008603658,0.0003600453,0.000007868603,0.0001597152,0.0002034099],"genre_scores_gemma":[0.6671026,0.000003294785,0.3325778,0.0000813623,0.0001742108,0.00003870755,0.000003112584,0.00001585452,0.000003063723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001799,"threshold_uncertainty_score":0.598896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792359808665948,"score_gpt":0.3273867967228273,"score_spread":0.2894631986361678,"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."}}