{"id":"W7098629237","doi":"","title":"assurance of in-house software","year":2014,"lang":"en","type":"article","venue":"","topic":"Respiratory and Cough-Related Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical software; Software; Quality assurance; Quality (philosophy); Set (abstract data type); Medical physicist; Ranking (information retrieval); Software quality analyst","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01396755,0.00026837,0.0002905756,0.001414929,0.0006504073,0.001418068,0.001027429,0.0005754223,0.008895159],"category_scores_gemma":[0.1350209,0.0003061132,0.0002577861,0.0009168927,0.0004720157,0.001046357,0.001077736,0.0007132681,0.002559698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008641816,"about_ca_system_score_gemma":0.002196833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931014,"about_ca_topic_score_gemma":0.002293305,"domain_scores_codex":[0.9790894,0.008166422,0.002103244,0.0008511863,0.008901753,0.0008880636],"domain_scores_gemma":[0.7136319,0.1167297,0.0666788,0.02210786,0.07376633,0.007085386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003378295,0.001131843,0.4669288,0.001082999,0.00009071908,0.0008750437,0.01740998,0.0005377787,0.02182895,0.0007163277,0.01191364,0.477146],"study_design_scores_gemma":[0.00008578585,0.003241363,0.8764544,0.0007261686,0.0001097955,0.006771276,0.009536571,0.003675004,0.02363751,0.0007635833,0.07488454,0.0001141025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9590181,0.001292382,0.01517796,0.002596684,0.0001127073,0.0002957185,0.000295977,0.001046638,0.0201638],"genre_scores_gemma":[0.9855591,0.0005241474,0.007066637,0.000819672,0.0000893408,0.00007637476,0.0003026442,0.0001324694,0.005429585],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01396755,"threshold_uncertainty_score":0.07386833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892979482003487,"score_gpt":0.2974412430614762,"score_spread":0.2785114482414414,"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."}}