{"id":"W2050989746","doi":"10.1145/1363686.1363875","title":"UMLtrust","year":2008,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00419155,0.001734437,0.001194649,0.003676753,0.002109267,0.006248352,0.002662828,0.003422968,0.05998154],"category_scores_gemma":[0.01653259,0.001847811,0.002440895,0.002217788,0.001385659,0.008462727,0.00543174,0.002925327,0.03999635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523249,"about_ca_system_score_gemma":0.003802545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008399559,"about_ca_topic_score_gemma":0.009223103,"domain_scores_codex":[0.9952421,0.001477168,0.0007450816,0.000580202,0.001451396,0.0005040837],"domain_scores_gemma":[0.9943613,0.00190093,0.0005706191,0.00160414,0.001252459,0.0003105644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003551923,0.0001198479,0.002124205,0.001163438,0.00008513626,0.0007408659,0.001864102,0.008708074,0.003787544,0.5181298,0.2351255,0.2277963],"study_design_scores_gemma":[0.00006730814,0.00002705474,0.0002209409,0.0002214389,0.00003045701,0.0005175513,0.0001095435,0.01269626,0.002202661,0.09050675,0.893336,0.00006406756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003515586,0.00194332,0.7044418,0.002901535,0.0009800638,0.0007925928,0.008915085,0.1235928,0.1529173],"genre_scores_gemma":[0.1130714,0.004102791,0.6563286,0.002315504,0.0006384336,0.002181591,0.04367969,0.03745417,0.1402278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05998154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682589545094829,"score_gpt":0.2197855715897021,"score_spread":0.1829596761387538,"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."}}