{"id":"W2752024072","doi":"10.5988/jime.51.685","title":"History of Alfa Laval’s Marine Auxiliary Boilers - Its Activities in Japan over the Last 50 Years","year":2016,"lang":"en","type":"article","venue":"Marine Engineering","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187703,0.0002013234,0.0002303911,0.0002361626,0.000008550958,0.00000704243,0.0002824129,0.000108571,0.0002737871],"category_scores_gemma":[0.00006251586,0.0001518178,0.00007535105,0.0001587303,0.00005392373,0.000160238,0.0002579399,0.0002143024,0.00001170808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704004,"about_ca_system_score_gemma":0.00002370147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114416,"about_ca_topic_score_gemma":0.0001600631,"domain_scores_codex":[0.9991459,0.000007197495,0.0002162298,0.0001539542,0.0001527707,0.0003239254],"domain_scores_gemma":[0.9994784,0.0001074726,0.00002971964,0.0003404618,0.000009047294,0.00003490754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007131384,0.0001170478,0.1954351,0.0006752349,0.000494658,0.00007663996,0.001877294,0.03254756,0.4851981,0.003749618,0.03862995,0.2411275],"study_design_scores_gemma":[0.001171923,0.00006668302,0.8119131,0.0001712646,0.00003444167,0.00001825056,0.0002765154,0.01126602,0.0204912,0.0001025059,0.1537661,0.0007219912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949775,0.0006925349,0.000169075,0.00008532755,0.0006853428,0.0001167802,0.00000582465,0.0005899085,0.002677757],"genre_scores_gemma":[0.9974414,0.0004169485,0.0002289458,0.000008074953,0.00006762106,0.0000421584,0.000002330859,0.00005837217,0.001734176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6164781,"threshold_uncertainty_score":0.6190952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005900841522757641,"score_gpt":0.1660846372897476,"score_spread":0.16018379576699,"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."}}