{"id":"W2073988609","doi":"10.1177/105971230601400101","title":"Collective Robotic Site Preparation","year":2006,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robot; Computer science; Construct (python library); Task (project management); Artificial intelligence; Mars Exploration Program; Nest (protein structural motif); Ant colony; Human–computer interaction; Ant colony optimization algorithms; Engineering; Systems engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006314308,0.0001348731,0.0001105773,0.0000367649,0.0001747838,0.00001430251,0.0000736311,0.000164604,0.00009100216],"category_scores_gemma":[0.000006572673,0.0001320584,0.00008118837,0.00008022958,0.00007610131,0.000006434916,0.0000384808,0.00007696996,0.00008224483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004212263,"about_ca_system_score_gemma":0.0001122531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005997346,"about_ca_topic_score_gemma":0.000377879,"domain_scores_codex":[0.9992454,0.00004419177,0.0001458877,0.0002811748,0.00007175777,0.0002115632],"domain_scores_gemma":[0.9996539,0.000006195331,0.00006056969,0.0001625546,0.00008394854,0.00003283863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000205934,0.000393206,0.07378812,0.000001448089,0.00001171898,0.00001834227,0.00005399801,0.000112831,0.9217862,0.000266534,0.002907107,0.0004545781],"study_design_scores_gemma":[0.000723127,0.001175415,0.5249609,0.000004455383,0.0001481025,0.00004320647,0.00004279213,0.00006506146,0.4709913,0.00009981377,0.001396384,0.0003494769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956762,0.00009953304,0.001060363,0.00001545597,0.000177035,0.000336301,0.00001614789,0.000023197,0.002595736],"genre_scores_gemma":[0.9815924,0.000002684485,0.0006874498,0.00006521164,0.0002202551,0.0001848957,0.0002275308,0.000015227,0.01700441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4511728,"threshold_uncertainty_score":0.5385185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287689479669872,"score_gpt":0.2584329911339286,"score_spread":0.2455560963372299,"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."}}