{"id":"W1968273866","doi":"10.1016/s1389-1286(00)00011-6","title":"A hybrid model for specifying features and detecting interactions","year":2000,"lang":"en","type":"article","venue":"Computer Networks","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Theoretical computer science","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":[0.002613168,0.001487221,0.001043316,0.002014172,0.0007664874,0.003211394,0.003864997,0.002563621,0.004223271],"category_scores_gemma":[0.009442938,0.001374391,0.002530183,0.001305596,0.001511722,0.006470864,0.002676941,0.002404244,0.001592937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156689,"about_ca_system_score_gemma":0.001881901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006900619,"about_ca_topic_score_gemma":0.009735088,"domain_scores_codex":[0.997052,0.0006546279,0.0003222939,0.0006246398,0.001126189,0.0002202615],"domain_scores_gemma":[0.9907601,0.004506612,0.0006609921,0.002514063,0.001286531,0.0002716792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009466411,0.0005567407,0.01027683,0.0006492867,0.0004074918,0.00175838,0.001193878,0.377232,0.03529185,0.3801465,0.0102695,0.1812708],"study_design_scores_gemma":[0.00004102013,0.00007157996,0.0002438485,0.00002587788,0.0001195788,0.0002129955,0.00004764108,0.92344,0.007078879,0.0632505,0.005426315,0.00004173176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003319536,0.00002381757,0.9938824,0.00007109211,0.00001102841,0.00006188104,0.0002462835,0.001819365,0.0005645473],"genre_scores_gemma":[0.1540413,0.0001034787,0.839476,0.0002308535,0.0000360853,0.000476465,0.001199464,0.0006714842,0.003764881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006900619,"threshold_uncertainty_score":0.01412821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483886119907776,"score_gpt":0.2698903878882503,"score_spread":0.2450515266891725,"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."}}