{"id":"W2144628267","doi":"10.1109/iros.2000.895271","title":"The paparazzi problem","year":2002,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Task (project management); Robot; Computer science; Mobile robot; Human–computer interaction; Artificial intelligence; Action (physics); Distributed computing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00147642,0.0007646716,0.0009822554,0.0007982167,0.001809959,0.00239622,0.001592196,0.002811633,0.01327983],"category_scores_gemma":[0.007221962,0.0003552054,0.000815652,0.0009903716,0.002643811,0.003988632,0.003402024,0.002755965,0.002437484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008954894,"about_ca_system_score_gemma":0.001124752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009241214,"about_ca_topic_score_gemma":0.0005846485,"domain_scores_codex":[0.9986429,0.0003876059,0.00005999595,0.0004144342,0.0003058596,0.0001892519],"domain_scores_gemma":[0.9986458,0.0007715217,0.0001531357,0.000167773,0.0001441723,0.0001176066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009487896,0.00004801166,0.0004930843,0.0002197423,0.00005153946,0.0003170765,0.0002456682,0.01736742,0.0006254629,0.900121,0.02848827,0.05192794],"study_design_scores_gemma":[0.00007064146,0.00005842593,0.0003664864,0.0000540233,0.00002190584,0.0005973832,0.0001551186,0.05625303,0.0006906844,0.8829992,0.05870917,0.00002393181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06094371,0.008071772,0.6688793,0.02625728,0.001732897,0.0004464047,0.0007711637,0.0004475719,0.2324499],"genre_scores_gemma":[0.6946241,0.007894599,0.1490013,0.002470733,0.002548457,0.001069993,0.001457225,0.0002138624,0.1407197],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01327983,"threshold_uncertainty_score":0.04442543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152171355628664,"score_gpt":0.1767208706148157,"score_spread":0.1615037350519493,"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."}}