{"id":"W4249156834","doi":"10.22215/etd/2007-07474","title":"Multi-objective genetic algorithm to support class responsibility assignment","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Class (philosophy); Computer science; Genealogy; Combinatorics; Humanities; Operations research; Mathematics; Political science; Artificial intelligence; Art; History","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":[0.0009065804,0.000586352,0.0005674184,0.0008325462,0.0004246718,0.0007601438,0.001183742,0.0008550211,0.002596622],"category_scores_gemma":[0.002090316,0.0003158934,0.0004362708,0.0005920003,0.000312303,0.0005515561,0.0005011184,0.0009009711,0.0003653588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008576322,"about_ca_system_score_gemma":0.001371015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022222,"about_ca_topic_score_gemma":0.009159049,"domain_scores_codex":[0.9996816,0.0001214805,0.00001230443,0.00005124591,0.00008609725,0.00004737931],"domain_scores_gemma":[0.9993215,0.0003976696,0.00006067864,0.00004126417,0.000133622,0.00004528159],"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":[0.00004107583,0.00007402589,0.000416348,0.00003015918,0.00003607407,0.00004450918,0.00004494923,0.9286567,0.001388889,0.003804102,0.00145414,0.06400913],"study_design_scores_gemma":[0.00001317924,0.00001331733,0.00005853047,0.000003603983,0.00000479455,0.000005228524,0.000004382164,0.9986059,0.0002431724,0.0006718294,0.0003743582,0.000001802439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05098024,0.0002915279,0.9415202,0.0002963609,0.0001058933,0.0001027497,0.00007868886,0.0009735303,0.005650883],"genre_scores_gemma":[0.4977041,0.0001557142,0.4955917,0.0001213401,0.00003596518,0.0002228968,0.0001896611,0.0001538464,0.005824735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022222,"threshold_uncertainty_score":0.02032548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296520996082127,"score_gpt":0.3427786959922792,"score_spread":0.319813486031458,"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."}}