{"id":"W4246314965","doi":"10.1515/iupac.68.0037","title":"Col, or Saddle Point","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); Point (geometry); Computer science; Saddle point; Epistemology; 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":[0.0006704326,0.0004256056,0.0007906736,0.0001476078,0.0001386931,0.0001100906,0.0007349172,0.0002933741,0.1159963],"category_scores_gemma":[0.0004237736,0.0002408158,0.0002057128,0.0002001076,0.0002281048,0.0001031027,0.0002940271,0.0002187602,0.00008657738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513487,"about_ca_system_score_gemma":0.0006564552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003592964,"about_ca_topic_score_gemma":0.001671424,"domain_scores_codex":[0.9971134,0.0001218536,0.0005588917,0.000601634,0.00108831,0.0005159084],"domain_scores_gemma":[0.9980416,0.0001153805,0.0003283636,0.0009493291,0.0003477572,0.0002175655],"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":[0.0003616762,0.0001395377,0.000001013569,0.00007164404,0.00005100563,0.0001021884,0.00001002023,0.00000154259,0.001544237,0.000006446826,0.9966525,0.001058232],"study_design_scores_gemma":[0.0006188879,0.0002511388,0.000009111666,0.0002472543,0.0002213098,0.00002229214,0.00002953706,0.000002807758,0.0009083707,0.0001156016,0.9971598,0.0004139236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008336316,0.0003217049,0.000252971,0.0006899534,0.0007414873,0.000189117,0.9968238,0.0000826572,0.00006462309],"genre_scores_gemma":[0.000081989,0.0004288279,0.0001419262,0.0004924917,0.001110779,0.00001685751,0.9936933,0.00003452402,0.003999295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1159098,"threshold_uncertainty_score":0.9820183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578543708753165,"score_gpt":0.3783616960879597,"score_spread":0.3625762590004281,"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."}}