{"id":"W2787420627","doi":"10.1149/ma2010-03/1/714","title":"Lab X-ray Diffraction of Lithium Battery Materials. Cutting Edge Instrumentation: Help or Hinderance?","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Battery (electricity); Lithium (medication); Enhanced Data Rates for GSM Evolution; Instrumentation (computer programming); Diffraction; Materials science; Engineering physics; Nanotechnology; Optoelectronics; Optics; Physics; Computer science; Psychology; Operating system; Telecommunications; 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":[0.001658289,0.0003131787,0.00040354,0.0002361388,0.0003448256,0.0003041078,0.0003695631,0.0002590326,0.001791618],"category_scores_gemma":[0.0008120514,0.0002840877,0.00009403007,0.0003078443,0.0001973946,0.0008917282,0.0001010503,0.000449045,0.0002032841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005149462,"about_ca_system_score_gemma":0.0001108189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003070108,"about_ca_topic_score_gemma":0.00004470796,"domain_scores_codex":[0.9970787,0.0001509034,0.001075849,0.0005670041,0.0006080958,0.0005194561],"domain_scores_gemma":[0.9974105,0.0005200809,0.001153504,0.0005152109,0.0002452941,0.0001554328],"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":[0.0001247966,0.0001527147,0.003035766,0.000166844,0.00001384665,0.00001282655,0.0004865758,0.0009815919,0.9940704,0.00001041415,0.0004946633,0.0004496061],"study_design_scores_gemma":[0.0005581816,0.00006529209,0.1149287,0.0001808479,0.00002909125,0.00004340284,0.0004449163,0.000026039,0.8786563,0.0001438718,0.004629161,0.0002941686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805316,0.00001667718,0.00002419021,0.0003200187,0.007025847,0.000286844,0.00004684976,0.0002421464,0.01150577],"genre_scores_gemma":[0.9893586,0.00001177037,0.00906979,0.0001602101,0.0009543074,0.00004157799,0.00002758659,0.00005445048,0.0003217235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115414,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600542252366527,"score_gpt":0.2602689642883284,"score_spread":0.2442635417646631,"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."}}