{"id":"W2903126845","doi":"10.2478/ntpe-2018-0028","title":"Significance Analysis of Ship Operational States as a Factor Influencing the Energy Efficiency of a Research – Training Vessel","year":2018,"lang":"en","type":"article","venue":"New Trends in Production Engineering","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Independent Electricity System Operator; Uniwersytet Szczeciński","keywords":"Operational efficiency; Task (project management); Process (computing); Population; Function (biology); Object (grammar); Research Object; Operations research; Computer science; Perception; Operations management; Engineering; Systems engineering; Artificial intelligence; Business; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104377,0.0002467442,0.0002152098,0.001154384,0.0004227222,0.001166565,0.0002565699,0.0003571844,0.003922276],"category_scores_gemma":[0.009116622,0.0001184104,0.0005194818,0.001148861,0.0007331088,0.0005064554,0.000695848,0.0004659449,0.0003208444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003678505,"about_ca_system_score_gemma":0.0005022479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855239,"about_ca_topic_score_gemma":0.00158631,"domain_scores_codex":[0.9982483,0.0006770947,0.0001874373,0.0002074722,0.0004857342,0.0001939343],"domain_scores_gemma":[0.9837975,0.01114592,0.002157751,0.0005920568,0.001464401,0.0008423247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000267699,0.0001198999,0.9839665,0.00005863955,0.0001146789,0.00009991642,0.001471537,0.000748586,0.002782083,0.00031066,0.0001428269,0.009916942],"study_design_scores_gemma":[0.000001714605,0.0002157855,0.993759,0.00001217118,0.00004173896,0.00004745543,0.003247502,0.001458546,0.0006400474,0.0001404276,0.0004262635,0.000009279398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971803,0.00003479005,0.0009835486,0.00003491163,0.000006326164,0.0000154417,0.00009193992,0.000007025302,0.001645778],"genre_scores_gemma":[0.9995298,0.000009156777,0.0001937563,0.000002087801,0.000002040291,0.000006085987,0.00005064819,0.000001763372,0.0002047044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003922276,"threshold_uncertainty_score":0.01312137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350422213950063,"score_gpt":0.2996420106063175,"score_spread":0.2645997892113112,"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."}}