{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156955,0.0002640602,0.0002826901,0.0001129668,0.00003388555,0.00005023415,0.0002938059,0.0001310084,0.0006037474],"category_scores_gemma":[0.00008197637,0.0002059447,0.00008388474,0.0001220918,0.00004371633,0.00007785399,0.00007318868,0.0003287899,0.000008161713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373953,"about_ca_system_score_gemma":0.0001050587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001102343,"about_ca_topic_score_gemma":0.00004661539,"domain_scores_codex":[0.9985901,0.000009677753,0.0001950388,0.0001854355,0.0005682166,0.0004515285],"domain_scores_gemma":[0.9991855,0.00003543836,0.00001867697,0.0004806345,0.0001080407,0.0001717339],"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":[0.0000066335,0.00002979804,5.001359e-7,0.0002218089,0.00007014105,0.00002319855,0.000003254132,0.0002728533,0.000297406,0.000008163232,0.9876786,0.01138759],"study_design_scores_gemma":[0.000231405,0.00004156696,0.000008662978,0.000201318,0.00001481914,0.000002661302,0.000001479333,0.0005023624,0.0001647843,0.001244846,0.9973112,0.0002749217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002856539,0.0005844669,0.0007712934,0.00007636232,0.0003807841,0.0001257178,0.9974563,0.0002691051,0.00005028156],"genre_scores_gemma":[0.0004903997,0.001007666,0.00004962775,0.00001538943,0.0006761776,0.00002047188,0.9976487,0.00005741494,0.00003414402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01111267,"threshold_uncertainty_score":0.8398183,"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."}}