{"id":"W1566277354","doi":"10.1007/11526018_11","title":"Qualitative Reasoning Model for Tradeoff Analysis","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Qualitative reasoning; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002263104,0.0005592704,0.0007685159,0.001396016,0.0004350877,0.0005516881,0.002847202,0.0003522384,0.00001063176],"category_scores_gemma":[0.0001522584,0.0005306938,0.0003718669,0.001168737,0.000355615,0.0006338964,0.0004730444,0.0007321062,0.00001180649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948615,"about_ca_system_score_gemma":0.0006527848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001994275,"about_ca_topic_score_gemma":0.00009781351,"domain_scores_codex":[0.9959173,0.00006138519,0.0006144913,0.001753234,0.0008421973,0.0008114473],"domain_scores_gemma":[0.9964554,0.001478974,0.0004123557,0.001178454,0.0002731472,0.0002016236],"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":[0.000006074343,0.00001485155,0.000009067245,0.0000220933,0.00006982069,0.000008402889,0.01260364,0.7614989,0.000009007667,0.02630245,0.00004013294,0.1994156],"study_design_scores_gemma":[0.0002111601,0.000073642,0.000007193837,0.00019263,0.0000703031,0.000007220453,8.426256e-7,0.8978344,0.00008491503,0.1005515,0.0003803814,0.0005857707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002963468,0.0005882893,0.9960244,0.001090609,0.0003563869,0.0003504407,0.0000304789,0.0002006731,0.001329032],"genre_scores_gemma":[0.08517775,0.0000126372,0.9122562,0.001045672,0.0002923702,0.00001942843,0.00002504276,0.00003100058,0.001139898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1988298,"threshold_uncertainty_score":0.9997144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04359065886211399,"score_gpt":0.3191653627257502,"score_spread":0.2755747038636362,"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."}}