{"id":"W4233983572","doi":"10.1515/iupac.88.1242","title":"Primordium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Biology; Linguistics; Philosophy; Data mining","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":[0.001697532,0.001498357,0.001394645,0.004714412,0.001085462,0.00422687,0.00243611,0.001669697,0.1748852],"category_scores_gemma":[0.01592711,0.0007957697,0.001745914,0.008757036,0.000525503,0.003378802,0.003412234,0.002224956,0.2052312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005436,"about_ca_system_score_gemma":0.004055384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095992,"about_ca_topic_score_gemma":0.03019165,"domain_scores_codex":[0.9973442,0.0004822057,0.000576227,0.0007136283,0.0005811093,0.000302605],"domain_scores_gemma":[0.9938843,0.001752805,0.0007468319,0.001358346,0.001871051,0.0003867433],"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":[0.00006544394,0.000008065237,0.0009477699,0.001201925,0.00002377698,0.00001397859,0.00003414572,0.00009098947,0.0000721738,0.001370713,0.9907172,0.005453673],"study_design_scores_gemma":[0.00006351565,0.000007897187,0.002043838,0.0006547432,0.00001610057,0.00003696488,0.00006298988,0.00007087426,0.00009288576,0.001059394,0.9958758,0.0000150052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009204438,0.0001718655,0.0001132077,0.0001689984,0.00006640186,0.00002268004,0.9966068,0.0002356448,0.002522376],"genre_scores_gemma":[0.000422325,0.0002355301,0.0003695892,0.0002218535,0.00002360347,0.0001289298,0.9963076,0.0001419245,0.002148533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1748852,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353852572384049,"score_gpt":0.4664508659765138,"score_spread":0.4429123402526733,"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."}}