{"id":"W3097077033","doi":"10.1016/j.mtcomm.2020.101820","title":"Monolithic integration of mesoporous germanium: A step toward high-performance on-chip anode","year":2020,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Materials science; Anode; Germanium; Mesoporous material; Faraday efficiency; Optoelectronics; Energy storage; Nanotechnology; Substrate (aquarium); Engineering physics; Silicon; Electrode; Power (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":[0.0001444898,0.0003069826,0.0002668229,0.0001808913,0.0001083653,0.0006351804,0.0008042997,0.000535279,0.0009761848],"category_scores_gemma":[0.0001785152,0.000179077,0.0002217912,0.0001405249,0.0001561056,0.0007204473,0.0004391368,0.0003411279,0.000568851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004413894,"about_ca_system_score_gemma":0.0002890812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005196797,"about_ca_topic_score_gemma":0.001789138,"domain_scores_codex":[0.9998643,0.000007451218,0.000004952205,0.00003595397,0.00005513407,0.00003199661],"domain_scores_gemma":[0.9999307,0.00001055313,0.000009953517,0.00001650994,0.00001899076,0.00001325005],"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":[0.00004175907,0.0000337397,0.0001966523,0.00009544918,0.00002751273,0.00006202438,0.00001808524,0.0003003317,0.9909135,0.0009740362,0.0005124046,0.006824387],"study_design_scores_gemma":[0.000008865055,0.0001234767,0.0009269214,0.000008206298,0.00002757836,0.0001122638,0.00001708905,0.003437336,0.9858973,0.0001688262,0.009262265,0.000009841136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9076251,0.007607054,0.06503091,0.0007208876,0.0006226856,0.00009099043,0.00101633,0.001681456,0.01560452],"genre_scores_gemma":[0.9680205,0.001738263,0.02385198,0.0001611327,0.000052632,0.00001900105,0.0005309746,0.00008256498,0.005542944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009761848,"threshold_uncertainty_score":0.003265619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04431975460099761,"score_gpt":0.2654450354319804,"score_spread":0.2211252808309828,"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."}}