{"id":"W7024469077","doi":"","title":"Robot torpedo to inspect water mains","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Mains electricity; Underwater; Trenchless technology; Pipeline (software); Spotting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910342,0.0007034313,0.0004799387,0.0005133127,0.0004883922,0.0003823983,0.0007097069,0.0004648137,0.005029432],"category_scores_gemma":[0.0004854778,0.0003002967,0.0003060788,0.0001859521,0.0004785139,0.0005322603,0.001022669,0.0004944701,0.001132671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000543558,"about_ca_system_score_gemma":0.0009749988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009222977,"about_ca_topic_score_gemma":0.01208224,"domain_scores_codex":[0.9998585,0.00001071233,0.000003975408,0.00004191463,0.00005631325,0.00002868351],"domain_scores_gemma":[0.9998122,0.0000333966,0.00001429157,0.00002347025,0.00008160803,0.00003503985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001889302,0.000253676,0.006612017,0.000702754,0.0001040345,0.00175708,0.0007675918,0.07371875,0.2559909,0.007105356,0.05332702,0.5977715],"study_design_scores_gemma":[0.0005110294,0.001400883,0.009607391,0.0001269172,0.0001451567,0.001599825,0.0005932587,0.7085344,0.1091467,0.002883983,0.1652649,0.000185535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2784951,0.001235428,0.6236708,0.001056226,0.001430106,0.0008033435,0.001251023,0.02451619,0.06754178],"genre_scores_gemma":[0.7283795,0.0005307471,0.2190754,0.000347738,0.00005916872,0.0004061489,0.001168287,0.0003833814,0.04964968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009222977,"threshold_uncertainty_score":0.01833862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008411561412657061,"score_gpt":0.2096131230581215,"score_spread":0.2012015616454644,"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."}}