{"id":"W2000537418","doi":"10.4043/12149-ms","title":"Development and Testing of the HydraStar Underwater Mateable, Fiber-Optic, Electric (Hybrid) Connector","year":2000,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Subsea; Cable gland; Modular design; Optical fiber cable; Engineering; Computer science; Marine engineering; Automotive engineering; Telecommunications; Optical fiber","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":[0.002260811,0.0005022034,0.0001767788,0.0005981218,0.0002150117,0.0005454547,0.0008063586,0.000595999,0.002285018],"category_scores_gemma":[0.001964529,0.0002085772,0.0002850197,0.0002676346,0.0004389911,0.0006592847,0.0004709999,0.0003313629,0.0006642811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003952932,"about_ca_system_score_gemma":0.0005501854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000659951,"about_ca_topic_score_gemma":0.0007475473,"domain_scores_codex":[0.9982296,0.0002925284,0.00008507162,0.0001613169,0.001107756,0.0001237159],"domain_scores_gemma":[0.9982712,0.0002334084,0.0002310304,0.0002209995,0.0009143853,0.0001289864],"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":[0.0004642188,0.0006141178,0.016908,0.0004975128,0.00007438615,0.001570481,0.0009469823,0.01137653,0.8114336,0.006028517,0.006866056,0.1432198],"study_design_scores_gemma":[0.0001769052,0.01588215,0.03940355,0.0001036763,0.0001067124,0.002818649,0.0004949873,0.03613964,0.8346677,0.0005123258,0.06957008,0.000123526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8999883,0.0005683597,0.08492806,0.0002598501,0.0002591095,0.0009041748,0.0004973397,0.001382957,0.0112119],"genre_scores_gemma":[0.9333732,0.0002229417,0.04908554,0.000105116,0.00002492523,0.0001513339,0.0005817487,0.000159569,0.01629567],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002285018,"threshold_uncertainty_score":0.01195639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205568025471327,"score_gpt":0.1811445851015775,"score_spread":0.1690889048468642,"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."}}