{"id":"W2065482228","doi":"10.1120/jacmp.v7i1.2183","title":"A graphical user interface for an electron monitor unit calculator using a sector‐integration algorithm and exponential curve‐fitting method","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; University of Waterloo","funders":"","keywords":"Calculator; Exponential function; Graphical user interface; Computer science; Unit (ring theory); Algorithm; Interface (matter); Exponential growth; Computational science; Mathematics; Mathematical analysis; Parallel computing; Operating system","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":[0.001069456,0.002665326,0.001207976,0.002089312,0.000372783,0.001052749,0.002384737,0.001035017,0.1809561],"category_scores_gemma":[0.003390474,0.0007734792,0.0008223832,0.0009618445,0.0002219856,0.001119186,0.001128063,0.001014311,0.03789148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927169,"about_ca_system_score_gemma":0.0006513529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068367,"about_ca_topic_score_gemma":0.0007651009,"domain_scores_codex":[0.9993362,0.0001047918,0.00007864964,0.0001637316,0.0002557561,0.00006090959],"domain_scores_gemma":[0.998066,0.0009101226,0.00008244278,0.0001761493,0.0006646,0.0001007046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002084716,0.0003725293,0.00249987,0.001301912,0.0001664122,0.0006776552,0.0003032026,0.005400727,0.02968242,0.005146369,0.4590442,0.4933201],"study_design_scores_gemma":[0.0015424,0.000470262,0.00799466,0.0004953239,0.0002119336,0.001933822,0.00009829,0.2627546,0.08451342,0.004805394,0.6347673,0.0004125434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004424393,0.0002804563,0.6162207,0.0002325358,0.0003517153,0.001090436,0.006984685,0.3546964,0.01571877],"genre_scores_gemma":[0.0649339,0.0004463772,0.795226,0.001244268,0.0003213519,0.004870657,0.01564487,0.05892371,0.05838891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1809561,"threshold_uncertainty_score":0.6053585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485868584892034,"score_gpt":0.4132286649043114,"score_spread":0.3783699790553911,"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."}}