{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014534,0.002754172,0.00169304,0.003742883,0.0008482405,0.003755689,0.003592078,0.001871708,0.274573],"category_scores_gemma":[0.01737187,0.0009440351,0.002567402,0.005319389,0.0004848639,0.003331982,0.002121263,0.002729903,0.296922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099513,"about_ca_system_score_gemma":0.002087949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007736837,"about_ca_topic_score_gemma":0.02031747,"domain_scores_codex":[0.9983821,0.0002818565,0.0002370774,0.0006793378,0.0002675123,0.000152037],"domain_scores_gemma":[0.995615,0.001779009,0.0003373266,0.001495795,0.0005769988,0.0001958804],"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":[0.00006695977,0.00001722757,0.000459092,0.0006973338,0.00004276794,0.00001049465,0.000009246792,0.0003837229,0.00003298481,0.000768237,0.991872,0.00563991],"study_design_scores_gemma":[0.0004480132,0.0000432041,0.001655099,0.0007477115,0.00005870733,0.0001056546,0.00005786941,0.001681502,0.0002781618,0.01188107,0.9830055,0.00003744991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001386587,0.0002718148,0.000573457,0.0001121623,0.0000894811,0.00002858286,0.9938398,0.002326767,0.002619307],"genre_scores_gemma":[0.0006852893,0.0002382669,0.001469117,0.0001694589,0.00003438422,0.00015657,0.9949179,0.0006939881,0.001635074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.274573,"threshold_uncertainty_score":0.9185381,"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."}}