{"id":"W4245436368","doi":"10.1515/iupac.83.0347","title":"Clone","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; Context (archaeology); Multidisciplinary approach; Computer science; Process (computing); Field (mathematics); Data science; Management science; Sociology; Engineering; Biology; Linguistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001756505,0.002040062,0.001343325,0.003639601,0.001337885,0.004256395,0.003084591,0.001982747,0.1625385],"category_scores_gemma":[0.01017824,0.0008158276,0.001634216,0.006253945,0.0005196399,0.003318098,0.003050466,0.002173578,0.286095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187444,"about_ca_system_score_gemma":0.003068514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118899,"about_ca_topic_score_gemma":0.03550655,"domain_scores_codex":[0.9971161,0.0003878247,0.0004192711,0.0009668757,0.0007546877,0.0003553565],"domain_scores_gemma":[0.9944429,0.000910628,0.0004704276,0.001964979,0.001847726,0.0003634583],"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":[0.00007228887,0.00001773006,0.001498317,0.0003662453,0.00001842262,0.00001662822,0.00003458882,0.0001005499,0.0001145009,0.001013589,0.9923413,0.004405844],"study_design_scores_gemma":[0.00007781385,0.00001214724,0.003403497,0.0002429844,0.00001502407,0.00006393338,0.00008775319,0.0001562069,0.0002837456,0.001339203,0.9942983,0.00001952567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001846321,0.00005516063,0.0001991745,0.00009435623,0.00004865147,0.00002508895,0.9959242,0.0006534464,0.002815166],"genre_scores_gemma":[0.0002952222,0.00004912183,0.0003442759,0.00009988318,0.000008871446,0.00007122254,0.9973415,0.0001384428,0.001651456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374615,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693902832019279,"score_gpt":0.427025581929161,"score_spread":0.4100865536089682,"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."}}