{"id":"W2169807456","doi":"","title":"Qualitative Model Abstraction for Diagnosis","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abstraction; Discretization; Computer science; Process (computing); Task (project management); Artificial intelligence; Qualitative analysis; Landmark; Data mining; Theoretical computer science; Algorithm; Qualitative research; Engineering; Mathematics; Programming language; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003136405,0.001236637,0.001045193,0.001754245,0.0009389709,0.002722454,0.0019513,0.0009827244,0.007560049],"category_scores_gemma":[0.01000778,0.000689083,0.001896007,0.001514424,0.00289181,0.004815377,0.00425624,0.00423408,0.001904226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695429,"about_ca_system_score_gemma":0.002082072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294617,"about_ca_topic_score_gemma":0.001772835,"domain_scores_codex":[0.9973115,0.0009152886,0.0001870251,0.0003119972,0.001125255,0.0001489363],"domain_scores_gemma":[0.9954143,0.002423423,0.0002841315,0.001313678,0.0004770202,0.00008754399],"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":[0.00003779624,0.00002943114,0.000233661,0.0004643179,0.00004561689,0.0002408115,0.0004416951,0.04801808,0.003116601,0.8755149,0.0046784,0.06717867],"study_design_scores_gemma":[0.00001942803,0.00002869894,0.0000870712,0.0001757116,0.00003615634,0.0001610401,0.0001359692,0.1417577,0.003209803,0.8110823,0.04328084,0.00002521978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004745336,0.0003182828,0.9955176,0.000331507,0.00004130783,0.0000496539,0.00009571323,0.0003415611,0.00282982],"genre_scores_gemma":[0.09173772,0.001586777,0.901554,0.0004433673,0.0001634753,0.0004684666,0.0007374134,0.0003208068,0.00298795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007560049,"threshold_uncertainty_score":0.02529085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07446010966465179,"score_gpt":0.3502650156795356,"score_spread":0.2758049060148838,"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."}}