{"id":"W60262200","doi":"","title":"An Explanation Oriented Dialogue Approach for Solving Wicked Planning Problems.","year":2005,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Plan (archaeology); Computer science; Parsing; Principal (computer security); Ideal (ethics); Measure (data warehouse); Similarity (geometry); Order (exchange); Subject (documents); Management science; Artificial intelligence; Data mining; Engineering","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":[0.006271221,0.00153937,0.0007304088,0.001513793,0.001782241,0.003010761,0.002595874,0.002833818,0.01035715],"category_scores_gemma":[0.01250006,0.0007528533,0.002247784,0.001252043,0.004670559,0.005442939,0.004946176,0.003493118,0.001461654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315613,"about_ca_system_score_gemma":0.002214144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925178,"about_ca_topic_score_gemma":0.003318421,"domain_scores_codex":[0.9934679,0.004390403,0.0002829886,0.0007055273,0.000947171,0.0002060931],"domain_scores_gemma":[0.9933541,0.005015963,0.0003275835,0.0006395535,0.0004357082,0.0002272234],"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":[0.00008148589,0.0001098038,0.000383524,0.0007144823,0.0000960329,0.0003221837,0.003868499,0.02164949,0.002764379,0.8562436,0.005646431,0.1081201],"study_design_scores_gemma":[0.00008967446,0.00009181531,0.0001889585,0.0001845339,0.0000721818,0.0003754929,0.0008403992,0.1250052,0.002913424,0.7699008,0.1002539,0.00008373771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008333845,0.0001696347,0.9945475,0.0006756964,0.00003934529,0.0001230221,0.00003214646,0.0002018276,0.003377548],"genre_scores_gemma":[0.02960564,0.0002022897,0.9665989,0.0002542283,0.00005579788,0.0003530906,0.0001045904,0.00006238367,0.002763071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01035715,"threshold_uncertainty_score":0.03464806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582746897871352,"score_gpt":0.2636555292873884,"score_spread":0.2378280603086749,"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."}}