{"id":"W2794125967","doi":"10.7566/jpscp.21.011021","title":"Challenge for Detecting the Interface between Electrode and Electrolyte with β-NMR","year":2018,"lang":"en","type":"article","venue":"","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF; University of British Columbia","funders":"","keywords":"Electrolyte; Electrode; Interface (matter); Computer science; Materials science; Chemical engineering; Chemistry; Physical chemistry; Engineering; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004369033,0.0008972184,0.001339467,0.0005891754,0.0008624853,0.002031301,0.002440919,0.003326117,0.00527907],"category_scores_gemma":[0.0051593,0.0006871082,0.000568416,0.0003626207,0.001851079,0.004899557,0.001774811,0.004599161,0.003956563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006149565,"about_ca_system_score_gemma":0.001403547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330402,"about_ca_topic_score_gemma":0.001948815,"domain_scores_codex":[0.9984932,0.0003214601,0.00006490363,0.0004002866,0.0005799569,0.0001402403],"domain_scores_gemma":[0.9955314,0.002408065,0.0002354608,0.0004627498,0.001121038,0.0002413996],"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":[0.0002524516,0.0001585914,0.001793937,0.001917621,0.0001191375,0.0003622163,0.0003085941,0.001880912,0.8482435,0.01701437,0.01833735,0.1096112],"study_design_scores_gemma":[0.00008879056,0.001018905,0.003582574,0.0005069332,0.0001984214,0.002670317,0.002158514,0.03609959,0.6630078,0.05584613,0.2345857,0.0002363475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1483844,0.0861899,0.6437383,0.0749684,0.005923538,0.0005462001,0.002452603,0.002897234,0.03489942],"genre_scores_gemma":[0.4339308,0.06007546,0.4578699,0.01611405,0.003475514,0.0009409022,0.002480837,0.0006729868,0.02443969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00527907,"threshold_uncertainty_score":0.02310592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481982522421204,"score_gpt":0.2660240861077913,"score_spread":0.2512042608835793,"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."}}