{"id":"W1971804921","doi":"10.4043/23930-ms","title":"Real-Time Subsea Fiber-Optic Monitoring","year":2013,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"National Aeronautics and Space Administration","keywords":"Subsea; Software deployment; Agile software development; Systems engineering; Computer science; Adaptability; Optical fiber; Engineering; Telecommunications; Software engineering; Marine 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":[0.0005101752,0.0003260181,0.0001311615,0.0005770378,0.0004087423,0.0006800785,0.0003480608,0.0002864417,0.001981398],"category_scores_gemma":[0.0008439746,0.00009919982,0.0001076361,0.0003340632,0.0001563372,0.0005521931,0.0006027498,0.0003698742,0.0004788844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306289,"about_ca_system_score_gemma":0.0006670325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00813874,"about_ca_topic_score_gemma":0.01306538,"domain_scores_codex":[0.9996359,0.00004633786,0.00001234473,0.00006796962,0.0001942637,0.00004312554],"domain_scores_gemma":[0.9994967,0.00007534917,0.00009102515,0.0000516146,0.0002203466,0.00006496099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001111288,0.0002898169,0.1389246,0.0002486763,0.0001128472,0.0007745237,0.001748583,0.07936808,0.2960055,0.003502736,0.0171219,0.4607915],"study_design_scores_gemma":[0.00008367542,0.0009702008,0.2060406,0.0001112499,0.0001094206,0.0003547075,0.001973891,0.5776109,0.1151056,0.003745062,0.09375003,0.0001446849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807468,0.0002438251,0.1384135,0.0005052453,0.0001678517,0.0004431845,0.00282486,0.005875252,0.04405834],"genre_scores_gemma":[0.9739134,0.00005942515,0.02201438,0.00003721644,0.00001384672,0.00006847252,0.0005087163,0.00005402992,0.003330491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00813874,"threshold_uncertainty_score":0.01618272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009282082234463921,"score_gpt":0.2011497775341141,"score_spread":0.1918676952996502,"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."}}