{"id":"W4317739163","doi":"10.3390/sym15020318","title":"Ratio Data: Understanding Pitfalls and Knowing When to Standardise","year":2023,"lang":"en","type":"article","venue":"Symmetry","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Jewish General Hospital","funders":"","keywords":"Variable (mathematics); Value (mathematics); Component (thermodynamics); Computer science; Metric (unit); Mathematics; Statistics; Mathematical analysis; Operations management; Physics; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.111364,0.001734548,0.002708405,0.007456633,0.001637912,0.01188742,0.004729675,0.003677239,0.007285079],"category_scores_gemma":[0.4972895,0.001437829,0.001597029,0.009326397,0.01293288,0.02216102,0.00583267,0.007393518,0.005477463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002127641,"about_ca_system_score_gemma":0.002819853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009448,"about_ca_topic_score_gemma":0.001586186,"domain_scores_codex":[0.8887926,0.07276836,0.008976401,0.009106345,0.0196051,0.0007511487],"domain_scores_gemma":[0.6559148,0.234033,0.02519268,0.05132151,0.03190057,0.001637471],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004814064,0.00007172451,0.01258784,0.00157644,0.000592036,0.0004147011,0.004019029,0.002951718,0.00174992,0.5190579,0.05515855,0.4013388],"study_design_scores_gemma":[0.00008227685,0.0001745283,0.003162608,0.001079222,0.00013091,0.00107393,0.001118984,0.008892248,0.002871841,0.905916,0.07528035,0.0002171691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009699119,0.009346443,0.9400429,0.02283082,0.002486869,0.0003174209,0.001907559,0.002076232,0.01129272],"genre_scores_gemma":[0.2043974,0.007997401,0.7635277,0.01045061,0.003989791,0.001159765,0.001684189,0.002525244,0.004267802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.888636,"threshold_uncertainty_score":0.5889562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3713116979787804,"score_gpt":0.4629078722222664,"score_spread":0.09159617424348598,"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."}}