{"id":"W2563439192","doi":"10.1609/aimag.v33i4.2444","title":"Reports of the AAAI 2012 Conference Workshops","year":2012,"lang":"en","type":"article","venue":"AI Magazine","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Context (archaeology); Computer science; Artificial intelligence; Robotics; Representation (politics); World Wide Web; Human–computer interaction; Robot; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005318504,0.00009528164,0.0001220273,0.00003150235,0.00008025982,0.00003987124,0.0004552914,0.00005220417,0.0001200175],"category_scores_gemma":[0.00006794461,0.00006508274,0.00005193689,0.0002740989,0.00004762066,0.0005075836,0.0002320479,0.000174758,0.0001005472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000988523,"about_ca_system_score_gemma":0.00006041383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001130574,"about_ca_topic_score_gemma":0.000003399241,"domain_scores_codex":[0.9990595,0.0000612045,0.0002251764,0.0001585625,0.0002107409,0.0002848136],"domain_scores_gemma":[0.9988706,0.00008788684,0.0001678027,0.0007136706,0.00008145141,0.00007856136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001302195,0.0002634574,0.3129629,0.00009975371,0.00006450836,0.00004713984,0.004640455,0.0004452499,0.007979405,0.08413952,0.50542,0.08392452],"study_design_scores_gemma":[0.0005049068,0.0001249848,0.3271332,0.0005339906,0.00005415878,0.0005516415,0.00002569832,0.01497963,0.009769711,0.01137508,0.6341196,0.0008274075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06707785,0.005263539,0.7982647,0.02354543,0.005957169,0.0005867049,0.00001065895,0.0005140268,0.09877992],"genre_scores_gemma":[0.9868378,0.000004732634,0.007967527,0.0007566087,0.00009084202,0.000004206485,0.000002116625,0.000005684508,0.004330498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9197599,"threshold_uncertainty_score":0.2653997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842329417493685,"score_gpt":0.2437559709139383,"score_spread":0.2253326767390014,"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."}}