{"id":"W1916374999","doi":"10.1109/iecec.1989.74795","title":"Stirling power for AUVs","year":2003,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Stirling engine; Underwater; Computer science; Offshore wind power; Power (physics); Engineering; Electrical engineering; Wind power; Mechanical engineering; Oceanography","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":[0.0001454123,0.0004725237,0.0002163859,0.0007663431,0.001044275,0.001229487,0.0004586549,0.0008819334,0.02759041],"category_scores_gemma":[0.000532384,0.0001618835,0.0003261359,0.0006142076,0.000369903,0.001343781,0.0009618028,0.0005186072,0.006143601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008395735,"about_ca_system_score_gemma":0.0005300165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108292,"about_ca_topic_score_gemma":0.003248626,"domain_scores_codex":[0.9997728,0.000021447,0.000004771363,0.00002725896,0.0001493861,0.00002431812],"domain_scores_gemma":[0.9998665,0.00004344694,0.000009006936,0.00001503373,0.00005360889,0.00001231552],"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":[0.0002931048,0.00008128747,0.001329471,0.0009753576,0.00003307697,0.000734789,0.0002593829,0.02081512,0.09241349,0.1187005,0.03362802,0.7307364],"study_design_scores_gemma":[0.00004811979,0.0006056789,0.002675044,0.000207174,0.00005785233,0.00135584,0.0005061607,0.02668581,0.1036389,0.06137998,0.802766,0.0000734985],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08156273,0.02633662,0.1582131,0.006292077,0.002126718,0.0001913136,0.0006539185,0.002487664,0.7221358],"genre_scores_gemma":[0.6694528,0.01510727,0.03674609,0.0009309573,0.0006015887,0.0001021502,0.0008766422,0.0003625784,0.27582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02759041,"threshold_uncertainty_score":0.09229916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007285698714558059,"score_gpt":0.214356314868999,"score_spread":0.207070616154441,"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."}}