{"id":"W55277548","doi":"","title":"Method for Qualification and Selection of Open Source Software","year":2008,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Open source; Computer science; Open source software; Software; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000790868,0.0001700876,0.0002837007,0.000163226,0.0004450078,0.0002658519,0.002726851,0.0001220234,0.0000104221],"category_scores_gemma":[0.0001761819,0.000141946,0.00003887319,0.001108647,0.0001097368,0.0003706417,0.001042166,0.0001161703,0.000006147744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003646383,"about_ca_system_score_gemma":0.0001159576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004961495,"about_ca_topic_score_gemma":0.00003265458,"domain_scores_codex":[0.9986738,0.0001242026,0.0003229506,0.0004622663,0.0001725423,0.0002442495],"domain_scores_gemma":[0.9983656,0.0003973015,0.0002580672,0.0006252495,0.0002934305,0.00006035697],"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":[0.000205811,0.0006075758,0.006280655,0.0003542234,0.0001821919,0.000002144265,0.01366228,0.02012218,0.008885794,0.03943174,0.04045951,0.8698059],"study_design_scores_gemma":[0.0007903483,0.00005962399,0.01535842,0.00003969227,0.0000197781,0.0001909455,0.0002745439,0.05208446,0.001655253,0.0007864925,0.928436,0.0003043717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01148777,0.0001057529,0.9845457,0.00241283,0.00005790106,0.0008188173,0.000002377796,0.0002412039,0.0003276641],"genre_scores_gemma":[0.3692454,0.00003095193,0.6166787,0.00104017,0.0001310806,0.000481414,0.0000210625,0.00008235334,0.01228886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8879765,"threshold_uncertainty_score":0.5788388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03669881088995407,"score_gpt":0.3113898707038427,"score_spread":0.2746910598138886,"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."}}