{"id":"W7027881899","doi":"","title":"Development of quantitative techniques for lithium compounds for next generation batteries with focused ion beam scanning electron microscopy","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Hydro-Québec; McGill University","keywords":"Focused ion beam; Lithium (medication); Scanning electron microscope; Ion; Ion beam","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005141395,0.0006447316,0.0006336027,0.0001434174,0.0009926612,0.0001136426,0.0004167806,0.0004656809,0.00005194507],"category_scores_gemma":[0.0000685825,0.000520086,0.0001696757,0.0003290323,0.00006778051,0.0009566654,0.00007054531,0.0003742483,0.0000298312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008430043,"about_ca_system_score_gemma":0.00006795346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005387073,"about_ca_topic_score_gemma":0.00112738,"domain_scores_codex":[0.9971526,0.00006016437,0.0007883626,0.0008720299,0.0005487205,0.0005781502],"domain_scores_gemma":[0.998525,0.0001147825,0.0007965633,0.0002497246,0.0002090368,0.0001049116],"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":[0.0005458939,0.00008968289,0.00009810604,0.0002946915,0.0001061027,5.255069e-7,0.0001202728,0.00001855511,0.9809975,0.001218499,0.0001762105,0.01633397],"study_design_scores_gemma":[0.0005934887,0.0005570007,0.001750789,0.0003858517,0.00007529036,0.000002226607,0.000361523,0.00001884375,0.9409598,0.0003902356,0.05411719,0.0007878193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930811,0.00006899975,0.00004396819,0.00002513605,0.0003910086,0.002614593,0.0002853924,0.0001123557,0.003377442],"genre_scores_gemma":[0.7040735,0.00006524847,0.2725028,0.0001875649,0.00006427733,0.001755056,0.009490165,0.0002074828,0.01165391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890076,"threshold_uncertainty_score":0.999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256004788884643,"score_gpt":0.2575159238270864,"score_spread":0.23495587593824,"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."}}