{"id":"W7018300599","doi":"","title":"Development of micro-and nano-scanning electrochemical microscopy probes for perspective applications in lithium ion batteries","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"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; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Lithium (medication); Electrochemistry; Ion; Perspective (graphical); Microscopy; Lithium-ion battery","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":[0.0003307809,0.0002613388,0.0002163878,0.0001648773,0.0002679205,0.0005761248,0.0004563366,0.0005145353,0.002804081],"category_scores_gemma":[0.0003220037,0.0003156261,0.0002113273,0.0001604263,0.0002354809,0.0007054493,0.0004003559,0.0007219352,0.001061882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402628,"about_ca_system_score_gemma":0.0002611701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608452,"about_ca_topic_score_gemma":0.001101081,"domain_scores_codex":[0.9998777,0.0000136918,0.000004650622,0.00003548863,0.00005154532,0.00001693067],"domain_scores_gemma":[0.9998546,0.00003771207,0.00001937397,0.00001029167,0.00006305774,0.0000149367],"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":[0.00002765585,0.00001400347,0.000101925,0.00008701525,0.000002955308,0.00002654243,0.00007417286,0.0001577355,0.976281,0.001354268,0.0006818438,0.02119076],"study_design_scores_gemma":[0.00000564785,0.00005584391,0.0003246494,0.00001125826,0.000004437185,0.0001092523,0.00004027295,0.001994784,0.9851338,0.0001542579,0.01215821,0.000007627779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4974511,0.03169357,0.4237249,0.006173856,0.0009436631,0.0003977161,0.0005192967,0.00207832,0.03701753],"genre_scores_gemma":[0.5839834,0.01867698,0.3420995,0.0008992861,0.0001182584,0.0003472749,0.0003328343,0.0003075241,0.05323489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002804081,"threshold_uncertainty_score":0.009380579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107274220467515,"score_gpt":0.2718024073925351,"score_spread":0.26072966518786,"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."}}