{"id":"W4235870559","doi":"10.1515/iupac.68.0176","title":"Stoichiometric Number","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Scientific literature; 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":[0.0009755605,0.003066255,0.001788116,0.005695901,0.001108612,0.003509053,0.002712678,0.00181582,0.09135039],"category_scores_gemma":[0.008757954,0.0009147806,0.001702645,0.007354506,0.0005382597,0.003300772,0.001997465,0.002888084,0.1325967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821539,"about_ca_system_score_gemma":0.002489917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288369,"about_ca_topic_score_gemma":0.02548571,"domain_scores_codex":[0.9979424,0.000216889,0.0003836811,0.0007718703,0.0005050189,0.0001802159],"domain_scores_gemma":[0.997435,0.0007114664,0.0003044578,0.000757404,0.000610993,0.0001805095],"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":[0.0001104372,0.00004151385,0.001716038,0.001378101,0.00004793565,0.00003856383,0.00002364594,0.0004791869,0.0002889035,0.001298436,0.9871006,0.007476658],"study_design_scores_gemma":[0.0002040356,0.00002721791,0.004447886,0.0004578208,0.00003670283,0.0001369815,0.00006525881,0.0005968757,0.0005297237,0.003659176,0.9897979,0.00004035849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002170329,0.0002084766,0.000169107,0.00005340837,0.00005938716,0.00002608554,0.9972444,0.0004812696,0.001540957],"genre_scores_gemma":[0.0004770416,0.0001716243,0.0005249552,0.00006081937,0.00001203953,0.00008691724,0.9979379,0.0000729449,0.0006557446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09135039,"threshold_uncertainty_score":0.3055975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007170694438466626,"score_gpt":0.3344305418310023,"score_spread":0.3272598473925357,"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."}}