{"id":"W4248315676","doi":"10.1515/iupac.83.0434","title":"Plate Map","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Field (mathematics); Context (archaeology); Multidisciplinary approach; Process (computing); Computer science; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Linguistics; Geography; 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":[0.0009798029,0.002698162,0.001461026,0.004817681,0.001324486,0.004060984,0.00394799,0.001717564,0.1518106],"category_scores_gemma":[0.006658109,0.0008358545,0.001755141,0.008216572,0.0005328681,0.002862638,0.003089617,0.002395379,0.3013721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954616,"about_ca_system_score_gemma":0.003026098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03257993,"about_ca_topic_score_gemma":0.0532407,"domain_scores_codex":[0.9982632,0.0001971705,0.0002489559,0.0005390376,0.0005121516,0.0002394501],"domain_scores_gemma":[0.9962101,0.0005973091,0.0002737531,0.001141575,0.001494001,0.0002833254],"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":[0.0000540064,0.00001925823,0.0008761682,0.0003714817,0.0000151789,0.00001628242,0.00002886721,0.0002248855,0.00008809843,0.0009280518,0.99322,0.004157798],"study_design_scores_gemma":[0.00005968198,0.00001055661,0.003167753,0.0002331844,0.00001302038,0.00004883575,0.0001536608,0.0003825656,0.0003839229,0.001894561,0.9936232,0.00002902103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001128958,0.00003109957,0.0001899434,0.00004598477,0.00002357437,0.00001789514,0.9966463,0.0008366894,0.002095466],"genre_scores_gemma":[0.0002995634,0.00004369811,0.0005095112,0.00003179918,0.000005160707,0.00006130301,0.9978371,0.0001449033,0.001066968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1518106,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650886047588553,"score_gpt":0.4117635278802209,"score_spread":0.3952546674043353,"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."}}