{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009775079,0.0003476245,0.0006174238,0.0001067003,0.0001124008,0.00007554752,0.0005187617,0.000308617,0.04512506],"category_scores_gemma":[0.0003227098,0.0002284239,0.0002201359,0.0001280397,0.0002164553,0.000101837,0.0001808204,0.000213593,0.00006755895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081799,"about_ca_system_score_gemma":0.000295693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615117,"about_ca_topic_score_gemma":0.0005405369,"domain_scores_codex":[0.997293,0.0001789743,0.0004959523,0.0006055381,0.001032832,0.0003937369],"domain_scores_gemma":[0.9981771,0.00008083311,0.0002941346,0.0009477613,0.0003459353,0.0001543032],"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":[0.0001044878,0.0001322664,0.000008439722,0.00007073258,0.00003008651,0.0000129406,0.00000495585,0.000003104919,0.002673574,0.000004506621,0.9955043,0.001450639],"study_design_scores_gemma":[0.0003276819,0.00009206918,0.0001382357,0.0001129048,0.0001845566,0.000005458508,0.00000613794,0.000004527472,0.0006003848,0.0002671531,0.9979401,0.0003208134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00593357,0.0002654564,0.0003408872,0.0003941352,0.0006757406,0.000151484,0.9921172,0.00008188485,0.00003959474],"genre_scores_gemma":[0.0003748789,0.0002274529,0.00006302935,0.0001479908,0.0008619779,0.00001193323,0.9976087,0.000019029,0.0006850727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0450575,"threshold_uncertainty_score":0.9557478,"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."}}