{"id":"W1995216618","doi":"10.1007/s11663-012-9679-6","title":"Statistical Approach to Quality Control of Large Thermodynamic Databases","year":2012,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Outotec (Canada)","funders":"","keywords":"Database; Computer science; Entropy (arrow of time); Enthalpy; Data mining; Heat capacity; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002175105,0.0001413429,0.0003606222,0.00001867189,0.00005928904,0.00002084771,0.00008253394,0.00008133874,0.00279685],"category_scores_gemma":[0.00002294138,0.0001178851,0.00006567413,0.00004797545,0.00006951155,0.00005816134,0.00001508831,0.00008581083,0.000004485811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169287,"about_ca_system_score_gemma":0.000007937615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009948207,"about_ca_topic_score_gemma":0.000004564422,"domain_scores_codex":[0.9990138,0.00004884294,0.0003070716,0.0002046015,0.0001494789,0.0002762204],"domain_scores_gemma":[0.9994551,0.00007072725,0.00005246967,0.0001968486,0.00002308237,0.0002017629],"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":[0.0001339089,0.0003741675,0.000004423272,0.000188015,0.0001026643,0.000001016466,0.0000542283,0.00002880652,0.9678015,0.03082596,0.000002434656,0.0004829345],"study_design_scores_gemma":[0.01153526,0.0001286181,0.01526165,0.0001823815,0.001898673,0.0004286829,0.0006735516,0.01562379,0.9024146,0.003473654,0.04547742,0.002901757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4383293,0.00006431351,0.5587823,0.00001338699,0.00004721607,0.00005590932,0.001623968,0.00001936,0.001064202],"genre_scores_gemma":[0.9956823,0.00002085626,0.003862112,0.00005540962,0.00004741055,0.00003108165,0.0001743849,0.00001709349,0.0001093656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.557353,"threshold_uncertainty_score":0.9981147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783100437167779,"score_gpt":0.2811623634667154,"score_spread":0.2633313590950376,"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."}}