{"id":"W4232520651","doi":"10.1515/iupac.68.0170","title":"Separability Assumption","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":[0.002908899,0.002741823,0.00205249,0.004643971,0.001238511,0.00482579,0.004275116,0.002744992,0.09283108],"category_scores_gemma":[0.02248828,0.0009012531,0.002827041,0.006694611,0.0009576018,0.004324319,0.002186649,0.004257016,0.1160847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896712,"about_ca_system_score_gemma":0.002751594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104893,"about_ca_topic_score_gemma":0.01552866,"domain_scores_codex":[0.9965836,0.000509961,0.0005551773,0.001284718,0.0006713726,0.0003951552],"domain_scores_gemma":[0.9937097,0.002318072,0.0005038885,0.002345518,0.0008883753,0.0002344819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894888,0.00007446831,0.002490648,0.0009210319,0.000101584,0.00006368403,0.00003308267,0.001362312,0.0001485772,0.003364482,0.9787874,0.01246321],"study_design_scores_gemma":[0.0005224927,0.00007343078,0.007092905,0.0008684493,0.0001230554,0.0004885771,0.0001490198,0.005259937,0.0009856758,0.02640479,0.9579465,0.00008517291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007811254,0.0004682124,0.001826462,0.0002403644,0.0001196775,0.00007162338,0.9916224,0.001040262,0.003829886],"genre_scores_gemma":[0.001951918,0.0002295214,0.001464176,0.0001561917,0.00003556378,0.0002593673,0.9945871,0.0001417904,0.001174347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09283108,"threshold_uncertainty_score":0.3105509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422207596876973,"score_gpt":0.3920866431521104,"score_spread":0.3778645671833407,"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."}}