{"id":"W2142036613","doi":"10.1017/s1431927605501934","title":"Life with a Microcalorimeter EDS Detector on a FEG-SEM","year":2005,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Detector; Analytical Chemistry (journal); Physics; Optics; Chemistry; Environmental chemistry","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":[0.00106331,0.001673191,0.0016826,0.003240226,0.00154916,0.001459496,0.00258087,0.001649778,0.05675568],"category_scores_gemma":[0.001314567,0.001385391,0.0008394087,0.001680791,0.0006954353,0.002146862,0.0008581991,0.002152286,0.007490586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205258,"about_ca_system_score_gemma":0.0009403488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140562,"about_ca_topic_score_gemma":0.006700073,"domain_scores_codex":[0.9986286,0.00007546213,0.0001583174,0.000549646,0.0004825063,0.0001054223],"domain_scores_gemma":[0.9984042,0.0003087534,0.0001084208,0.0004181384,0.0007162956,0.00004420186],"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":[0.0004367901,0.000248231,0.003279572,0.0008647738,0.0001533568,0.0005708138,0.0005200956,0.001316089,0.8750035,0.004943102,0.02289857,0.08976526],"study_design_scores_gemma":[0.0001084913,0.0003631774,0.01327524,0.0001395954,0.0002569982,0.002291708,0.0002766557,0.02567903,0.8400182,0.002027885,0.1154375,0.0001255773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2118685,0.002596678,0.6534265,0.00158619,0.001524229,0.001198788,0.0140627,0.0502304,0.0635061],"genre_scores_gemma":[0.2419387,0.002024371,0.6661374,0.001135765,0.0002560598,0.001270521,0.01212372,0.009005092,0.06610841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05675568,"threshold_uncertainty_score":0.1898667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274712547575056,"score_gpt":0.2338322652398529,"score_spread":0.2265575526922778,"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."}}