{"id":"W4237107041","doi":"10.1515/iupac.88.0628","title":"Compaction","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","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; Linguistics; Data mining; Philosophy","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":[0.00196925,0.001438373,0.001344193,0.004232606,0.0008963528,0.003821442,0.00246277,0.001880065,0.1949775],"category_scores_gemma":[0.01836475,0.0005904931,0.001963606,0.006409011,0.0004423483,0.00288979,0.002390947,0.00170156,0.209512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812924,"about_ca_system_score_gemma":0.003818715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392005,"about_ca_topic_score_gemma":0.02301393,"domain_scores_codex":[0.9967234,0.0005396081,0.0008014584,0.001021898,0.000599588,0.0003141152],"domain_scores_gemma":[0.9927881,0.001885294,0.0008069758,0.001637925,0.002513551,0.0003681394],"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":[0.0001378061,0.00001737084,0.001665625,0.001607376,0.00004691273,0.00002613528,0.00003252715,0.0001279288,0.0001067315,0.001181311,0.9844633,0.01058706],"study_design_scores_gemma":[0.000134714,0.000016792,0.002962039,0.0009810687,0.00003436064,0.00007933958,0.00007748513,0.0001431498,0.0001787587,0.001409304,0.9939597,0.00002329978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001432335,0.0001975722,0.0001796594,0.000184089,0.00007545658,0.00005500736,0.9956616,0.0003494749,0.003153979],"genre_scores_gemma":[0.0005227014,0.0002050504,0.0005115207,0.0002987963,0.00002673315,0.0002228227,0.9957706,0.0001076547,0.002334002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1949775,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533207089333766,"score_gpt":0.4441083957903583,"score_spread":0.4187763248970206,"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."}}