{"id":"W4402875758","doi":"10.1021/acs.jpcc.4c04870","title":"Braving the Elements: Learning from 60+ Dopants in Battery Materials","year":2024,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dopant; Battery (electricity); Materials science; Engineering physics; Computer science; Doping; Optoelectronics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100983,0.0004491335,0.0006160767,0.0004712447,0.0004302289,0.001458854,0.0007446879,0.0007906393,0.002194212],"category_scores_gemma":[0.001651051,0.0003706721,0.0004099751,0.0004587087,0.0008532758,0.003036485,0.001034343,0.002014116,0.001037206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007233291,"about_ca_system_score_gemma":0.000654749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050287,"about_ca_topic_score_gemma":0.002691036,"domain_scores_codex":[0.9997807,0.00004663332,0.00001232512,0.00005703405,0.00007719091,0.00002611949],"domain_scores_gemma":[0.9997562,0.0001419687,0.00002337412,0.00002219218,0.00003638488,0.0000199601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005056848,0.0005234372,0.007186044,0.003993589,0.0001148458,0.0003984827,0.0008336438,0.05847964,0.1541937,0.1499721,0.01940904,0.6043898],"study_design_scores_gemma":[0.0001070458,0.0008500294,0.002305822,0.001293126,0.0001655404,0.0003693541,0.0006761306,0.1885232,0.261639,0.2664994,0.277413,0.0001584726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3842533,0.2831358,0.2419067,0.02099247,0.002577395,0.0003533982,0.001437167,0.002370619,0.0629732],"genre_scores_gemma":[0.688234,0.141882,0.1538482,0.002460691,0.0005346123,0.0002648251,0.0009455953,0.0004157007,0.01141448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002194212,"threshold_uncertainty_score":0.007340431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014209331045061,"score_gpt":0.2461659339412772,"score_spread":0.2360238406308266,"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."}}