{"id":"W2955920358","doi":"10.22260/isarc2019/0154","title":"Efforts to Unmanned Construction for Post-disaster Restoration and Reconstruction","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web crawler; Download; Software deployment; Robot; Disaster area; Situation awareness; Computer science; Rescue robot; World Wide Web; Engineering; Mobile robot; Artificial intelligence; Geography; Software engineering; Aerospace engineering","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":[0.0001028045,0.00007918074,0.000101113,0.00005446248,0.00004000717,0.0000294544,0.00007936209,0.00004804087,0.00001426691],"category_scores_gemma":[0.00003353478,0.00006248315,0.00003277376,0.00008572318,0.00002861158,0.0001904569,0.00002492589,0.00005122747,0.000006177477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500304,"about_ca_system_score_gemma":0.000004242234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005547031,"about_ca_topic_score_gemma":0.000002639112,"domain_scores_codex":[0.9995352,0.000001181645,0.0001527575,0.0001220413,0.00008250587,0.0001063317],"domain_scores_gemma":[0.9997109,0.00001120488,0.00004531058,0.00006132366,0.0001412222,0.00003010962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001832999,0.00001707854,0.02121266,0.001021586,0.00007020332,4.658846e-8,0.003114419,0.003171388,0.8152344,0.02795009,0.001720569,0.1263043],"study_design_scores_gemma":[0.0009338089,0.0006040526,0.01320275,0.0006682014,0.00009034455,0.0001850901,0.003777361,0.04170975,0.9150282,0.01432648,0.008719048,0.000754878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957665,0.00002676175,0.001126607,0.0002219473,0.0006251442,0.000505035,0.000004972141,0.0000421705,0.001680813],"genre_scores_gemma":[0.9948025,0.00000850278,0.004895614,0.00003572224,0.00005492991,0.00001773664,9.238106e-7,0.00001429073,0.0001698021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255494,"threshold_uncertainty_score":0.2547989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680713117750767,"score_gpt":0.1954035424099932,"score_spread":0.1887228292922424,"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."}}