{"id":"W31476163","doi":"10.3233/jad-190790","title":"Software Requirement Analysis Risk Evaluation Model Based on Support Vector Machine","year":2007,"lang":"en","type":"article","venue":"Jisuanji gongcheng","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Support vector machine; Project risk management; Risk analysis (engineering); Software; Risk management; Dimension (graph theory); Data mining; Project management; Machine learning; Systems engineering; Project portfolio management; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002221495,0.0007214329,0.0007084072,0.001516935,0.000258834,0.001200704,0.001093436,0.0006800026,0.001179807],"category_scores_gemma":[0.005258754,0.00026674,0.0007135852,0.0007641373,0.0002823405,0.001954917,0.0005226511,0.0008070601,0.0003202732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656105,"about_ca_system_score_gemma":0.0008868682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00459578,"about_ca_topic_score_gemma":0.002332348,"domain_scores_codex":[0.9981077,0.0006392163,0.000134193,0.0002254417,0.0007435667,0.0001498674],"domain_scores_gemma":[0.9971575,0.001432548,0.0002733953,0.0001189632,0.0009075407,0.0001100498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000334008,0.0003280371,0.01244255,0.0001209699,0.0001981844,0.0001985319,0.0001663792,0.7849504,0.002365649,0.008719753,0.002736687,0.1874388],"study_design_scores_gemma":[0.000006298264,0.00004651528,0.0006076004,0.000003539295,0.000009928784,0.00001786072,0.000007508289,0.997661,0.0002849034,0.001204975,0.0001440297,0.000005878594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314288,0.0003055922,0.8632887,0.0004894334,0.00004547762,0.0001266943,0.0001592176,0.001000399,0.00315573],"genre_scores_gemma":[0.948706,0.0001694632,0.04885797,0.00003481789,0.00003306088,0.0001479285,0.0002158512,0.00002654465,0.001808548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00459578,"threshold_uncertainty_score":0.01174855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517442210378209,"score_gpt":0.2671509966216608,"score_spread":0.2419765745178787,"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."}}