{"id":"W3170033833","doi":"","title":"Automatic migration path exploration for multivalent battery cathodes using geometrical descriptors","year":2021,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Danmarks Frie Forskningsfond","keywords":"Battery (electricity); Path (computing); Cathode; Computer science; Geology; Materials science; Artificial intelligence; Engineering; Electrical engineering; Physics; Programming language; Power (physics); Thermodynamics","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":[0.001774805,0.0004467409,0.001028947,0.0005698862,0.000556699,0.00007735489,0.0015513,0.0005876595,0.002169328],"category_scores_gemma":[0.001543255,0.0005431235,0.0004901787,0.001496408,0.001150732,0.001095182,0.001049223,0.0004639073,0.00010478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492314,"about_ca_system_score_gemma":0.0004482953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006465687,"about_ca_topic_score_gemma":0.0004507564,"domain_scores_codex":[0.9956476,0.0006806278,0.0007240323,0.001146142,0.001084159,0.0007174535],"domain_scores_gemma":[0.9959514,0.001040339,0.0008753915,0.000975483,0.0008115753,0.0003458346],"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":[0.0004105287,0.0007091783,0.001782786,0.0003678929,0.00003623022,0.0001402886,0.0003136157,0.001757774,0.9900104,0.0008426065,0.002469099,0.001159556],"study_design_scores_gemma":[0.01774482,0.00476683,0.1002088,0.004437294,0.003174855,0.0009164202,0.0140035,0.3012533,0.5142848,0.006555916,0.02533568,0.007317725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983764,0.00009930362,0.2990805,0.0006017868,0.0002710444,0.0006516557,0.0001303714,0.000235051,0.0005539119],"genre_scores_gemma":[0.7680361,0.0001217524,0.2310275,0.00003938513,0.00004273457,7.872436e-7,0.0000407939,0.0000312292,0.0006597732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4757256,"threshold_uncertainty_score":0.999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763278896393738,"score_gpt":0.2542822753226952,"score_spread":0.2166494863587578,"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."}}