{"id":"W2018023448","doi":"10.1007/s10973-007-8516-7","title":"Calculation of smoothing factors for the comparison of DSC results","year":2007,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Smoothing; Differential scanning calorimetry; Thermodynamics; Heat capacity; Thermal analysis; Derivative (finance); Chemistry; Analytical Chemistry (journal); Materials science; Thermal; Biological system; Mathematics; Statistics; Chromatography; Physics","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":[0.00420815,0.001329354,0.001024601,0.003331703,0.0007960629,0.001184473,0.001248988,0.001006478,0.006512847],"category_scores_gemma":[0.02158347,0.0005386454,0.0008351285,0.003440549,0.000236456,0.001086663,0.0005876698,0.0011978,0.001801842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899529,"about_ca_system_score_gemma":0.0008719533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308694,"about_ca_topic_score_gemma":0.002608123,"domain_scores_codex":[0.9985611,0.0003233317,0.0002011036,0.0002088618,0.0005951074,0.0001106494],"domain_scores_gemma":[0.9882687,0.004954757,0.0005027371,0.001495573,0.004619468,0.0001587292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003168516,0.0005899745,0.008193782,0.00114227,0.0002927529,0.0003523114,0.0009946709,0.02725848,0.2570001,0.006712953,0.009274064,0.6850201],"study_design_scores_gemma":[0.0001788267,0.0007845492,0.03827732,0.000144302,0.0004801223,0.0005605455,0.0004022496,0.327007,0.6008626,0.005510174,0.02544422,0.0003479096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1290895,0.001036606,0.8505542,0.0001464393,0.0003785091,0.0002856471,0.001432626,0.01413837,0.002938097],"genre_scores_gemma":[0.3190018,0.0003827258,0.6725737,0.00004399792,0.0000421395,0.0003470696,0.002141788,0.003258328,0.002208483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006512847,"threshold_uncertainty_score":0.02225506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399147624671773,"score_gpt":0.310529219663909,"score_spread":0.2865377434171912,"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."}}