{"id":"W1795525306","doi":"10.1609/aimag.v34i4.2511","title":"The AAAI‐13 Conference Workshops","year":2013,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Artificial intelligence; Context (archaeology); Computer science; Personalization; Robotics; Applications of artificial intelligence; Artificial intelligence, situated approach; World Wide Web; Robot","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":[0.007277969,0.001608537,0.001298455,0.002561585,0.002360608,0.008584434,0.003251723,0.003519184,0.1482535],"category_scores_gemma":[0.009005748,0.000741672,0.001501668,0.002466279,0.0007876607,0.007894278,0.004032671,0.004114595,0.1103829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434512,"about_ca_system_score_gemma":0.004952631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007307761,"about_ca_topic_score_gemma":0.01718499,"domain_scores_codex":[0.9962679,0.0006048951,0.0003125687,0.0005215752,0.001913878,0.0003792399],"domain_scores_gemma":[0.9929073,0.0006463488,0.0001927944,0.001010644,0.003677055,0.001565761],"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":[0.00007825076,0.0001440286,0.0002781696,0.00009696568,0.00001653038,0.00007069812,0.00005749998,0.0002102574,0.0004344849,0.003709929,0.9057257,0.08917744],"study_design_scores_gemma":[0.00001356626,0.00001631497,0.0003857102,0.00008348229,0.00001229252,0.00006940543,0.0001218549,0.0008343487,0.0003025745,0.003263851,0.9948795,0.00001719396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006125845,0.02530117,0.06812926,0.07217998,0.1508618,0.0009323991,0.009803755,0.008393921,0.6582718],"genre_scores_gemma":[0.02300108,0.02003571,0.04956719,0.009429862,0.01480007,0.0006754657,0.02877924,0.001811091,0.8519004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1482535,"threshold_uncertainty_score":0.4959573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623930375217324,"score_gpt":0.2398398959076002,"score_spread":0.2236005921554269,"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."}}