{"id":"W2132798126","doi":"10.1109/crv.2010.41","title":"Telepresence across the Ocean","year":2010,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Software deployment; Computer science; Context (archaeology); Underwater; Robot; Human–computer interaction; Telerobotics; Multimedia; Simulation; Artificial intelligence; Mobile robot; Software engineering","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":[0.0002662452,0.0003603082,0.0002018894,0.000449631,0.0008250861,0.0009231468,0.0006045166,0.0006091166,0.0125618],"category_scores_gemma":[0.0008085935,0.0001797757,0.0001341699,0.0003860524,0.0003766573,0.001447651,0.001704255,0.0005597277,0.001296713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964564,"about_ca_system_score_gemma":0.0006480971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714138,"about_ca_topic_score_gemma":0.005775962,"domain_scores_codex":[0.9997146,0.0000387327,0.00001026782,0.0000746166,0.0001197336,0.00004202527],"domain_scores_gemma":[0.999485,0.0001427596,0.00006689483,0.0001081767,0.0001123035,0.00008479977],"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":[0.0005235953,0.000146478,0.01193479,0.0003655683,0.00002793015,0.001629304,0.004602335,0.003436123,0.1748824,0.005728414,0.008433134,0.7882899],"study_design_scores_gemma":[0.0002248206,0.001850238,0.09234201,0.0006035595,0.0001500416,0.006823395,0.01204187,0.07301545,0.1955709,0.009738883,0.6073785,0.0002603829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4856956,0.003311237,0.2700505,0.0020102,0.0008098689,0.0004316528,0.0007273208,0.006196091,0.2307676],"genre_scores_gemma":[0.8828037,0.0008744674,0.07068455,0.0003651906,0.0001609411,0.0001218458,0.0004147622,0.0002400913,0.04433447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125618,"threshold_uncertainty_score":0.04202342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009407687386305841,"score_gpt":0.2306292890693363,"score_spread":0.2212216016830305,"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."}}