{"id":"W2438092584","doi":"10.1017/cbo9780511550881.027","title":"EFFECTIVE TEST STRATEGIES FOR ENTERPRISE-CRITICAL APPLICATIONS","year":2000,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Test (biology); Computer science; Biology; Ecology","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":[0.002087569,0.001269942,0.0003242704,0.001947065,0.0005675578,0.002156738,0.002149668,0.001150416,0.003214715],"category_scores_gemma":[0.01078806,0.0004452761,0.000250266,0.0006365575,0.001476146,0.002608057,0.001340044,0.0008627343,0.0009365099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009421773,"about_ca_system_score_gemma":0.001319021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087046,"about_ca_topic_score_gemma":0.001352359,"domain_scores_codex":[0.9973223,0.000945991,0.0001693983,0.0001969512,0.001182278,0.000183195],"domain_scores_gemma":[0.9944975,0.003511447,0.0003397373,0.0004759777,0.0009484787,0.0002268672],"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":[0.0001289022,0.000656207,0.002952097,0.0008637981,0.00003884126,0.001465286,0.003466336,0.02058034,0.03170527,0.127982,0.01330906,0.7968519],"study_design_scores_gemma":[0.0004246917,0.00273162,0.006347477,0.002210284,0.0002081159,0.005966717,0.006429564,0.2330944,0.1619883,0.3290675,0.2513241,0.0002070741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1309923,0.007415626,0.7274569,0.004405748,0.0002599303,0.001689715,0.0001118722,0.006320133,0.1213479],"genre_scores_gemma":[0.5504106,0.002846846,0.4200185,0.0009783456,0.00006480196,0.0007491442,0.0002367856,0.0005552459,0.02413965],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003214715,"threshold_uncertainty_score":0.01104021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168133787862725,"score_gpt":0.2003435706776236,"score_spread":0.1886622327989964,"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."}}