{"id":"W4254330477","doi":"10.1515/iupac.83.0442","title":"Probe","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Field (mathematics); Multidisciplinary approach; Process (computing); Data science; Management science; Sociology; Engineering; Linguistics; Biology; 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":[0.001261793,0.001934398,0.001217833,0.003003098,0.001107232,0.003421187,0.002770341,0.002037283,0.1203657],"category_scores_gemma":[0.008444194,0.0006467174,0.001528607,0.004069163,0.0004972675,0.002913401,0.002540535,0.002243736,0.2093265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734717,"about_ca_system_score_gemma":0.002021804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112935,"about_ca_topic_score_gemma":0.01963995,"domain_scores_codex":[0.9982454,0.0002256626,0.0001902814,0.0006570686,0.0004671327,0.0002145349],"domain_scores_gemma":[0.9969136,0.0006537397,0.0002750821,0.001014336,0.0009131521,0.0002300776],"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":[0.00009742695,0.00002517291,0.001266684,0.0005904019,0.00002148765,0.00001905608,0.00002836214,0.000216011,0.0001790557,0.001510652,0.9902211,0.005824563],"study_design_scores_gemma":[0.0001038925,0.00001849582,0.002927868,0.0002610362,0.00001715746,0.00007458705,0.00007777038,0.0004063094,0.0005084943,0.00205493,0.9935268,0.00002262069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003097902,0.0001703907,0.000374325,0.000171309,0.000076066,0.00003526999,0.9937705,0.001049974,0.00404229],"genre_scores_gemma":[0.0006879354,0.0001133952,0.0005374653,0.0001583847,0.00001595118,0.0001042909,0.9957776,0.00015741,0.002447493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1203657,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052656699587255,"score_gpt":0.3540104154639159,"score_spread":0.3434838484680434,"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."}}