{"id":"W3014330172","doi":"","title":"Agents in the World: What Are Agents and How Can They Be Built?","year":2010,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Business","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":[0.00935673,0.0008332141,0.001711294,0.00161636,0.00429218,0.02013533,0.003230887,0.005505829,0.007854258],"category_scores_gemma":[0.03625649,0.001389818,0.001002997,0.002482391,0.01346396,0.05747421,0.005127417,0.006208352,0.002504027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270888,"about_ca_system_score_gemma":0.004428832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231672,"about_ca_topic_score_gemma":0.003155758,"domain_scores_codex":[0.9912727,0.00527374,0.0004284841,0.0009044022,0.001452936,0.0006677502],"domain_scores_gemma":[0.9866285,0.006245849,0.001159276,0.001859333,0.002232823,0.001874165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007880858,0.0001046835,0.003256303,0.0004692554,0.00009484153,0.0001434828,0.004982761,0.002978228,0.0004432212,0.9192279,0.007015587,0.06120497],"study_design_scores_gemma":[0.00002483423,0.00002817707,0.0008529196,0.0003985574,0.00005204627,0.0001009236,0.004226682,0.005665033,0.0004044668,0.9287655,0.05943735,0.00004347534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07562343,0.04867226,0.4553644,0.1948213,0.002485992,0.0006785232,0.0007468372,0.0007765105,0.2208308],"genre_scores_gemma":[0.7723935,0.01870098,0.185599,0.00453355,0.0008022583,0.0006286424,0.0006080845,0.0002898165,0.01644422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02013533,"threshold_uncertainty_score":0.04948366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0538739961465606,"score_gpt":0.2930164816753023,"score_spread":0.2391424855287417,"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."}}