{"id":"W4411957534","doi":"10.59236/td2013vol6iss31325","title":"Mixing Business with Science","year":2013,"lang":"en","type":"article","venue":"Transformative Dialogues Teaching and Learning Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mixing (physics); Business; Physics","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":[0.0007156734,0.0001114118,0.000107907,0.0001641184,0.000666517,0.0002350727,0.00009166331,0.00003272163,0.00002000949],"category_scores_gemma":[0.00007640226,0.00007815734,0.00001476414,0.0001948583,0.0001468414,0.0008410392,0.000004833979,0.001220143,0.00001656081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004113791,"about_ca_system_score_gemma":0.00002720403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003299223,"about_ca_topic_score_gemma":7.33281e-7,"domain_scores_codex":[0.9993032,0.00004837017,0.0001387899,0.00007334824,0.0001779767,0.0002583431],"domain_scores_gemma":[0.9996533,0.00006008931,0.00002106211,0.00003681319,0.00007198166,0.0001567736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001328673,0.00005291122,0.002234549,0.0005407864,0.00009872521,0.00000597739,0.09763445,0.04050105,0.01835246,0.0004327695,0.0006942272,0.8394388],"study_design_scores_gemma":[0.00331977,0.0008176789,0.5739375,0.002600137,0.000136058,0.002478919,0.02494411,0.3421165,0.0031557,0.001336157,0.04283655,0.002320919],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865063,0.0001591544,0.1305056,0.0003146061,0.0002386567,0.00005394605,3.567928e-7,0.0001837276,0.00348095],"genre_scores_gemma":[0.9954582,0.00008978366,0.004229412,0.00002418555,0.0001363051,0.000005333219,0.000003402387,0.00001397917,0.00003933018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8371179,"threshold_uncertainty_score":0.5300984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463932856363577,"score_gpt":0.1946629934602141,"score_spread":0.1881990606038505,"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."}}