{"id":"W4387302045","doi":"10.1115/1.4063617","title":"An Analysis of Factors Influencing Ice Management Performance in an Experimental Marine Simulator and Their Application to Decision Support System Design","year":2023,"lang":"en","type":"article","venue":"Journal of Offshore Mechanics and Arctic Engineering","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision support system; Personalization; Computer science; Bridge (graph theory); Simulation; Human–computer interaction; Systems engineering; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005106071,0.00009782975,0.0002320466,0.0007710604,0.00003112821,0.00002285791,0.00008663893,0.0000373756,0.00003401027],"category_scores_gemma":[0.000007879168,0.00008261835,0.00003902196,0.0004139099,0.000002309867,0.0001757729,0.00003287534,0.00008758849,0.00000109325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007590398,"about_ca_system_score_gemma":0.000004713559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006035922,"about_ca_topic_score_gemma":0.000003406349,"domain_scores_codex":[0.9991814,0.00002682041,0.0004289505,0.0001279956,0.0001271733,0.0001076636],"domain_scores_gemma":[0.9995005,0.00006824677,0.0001414147,0.0001319403,0.00005716655,0.0001008011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002316267,0.0001375872,0.02782255,0.0001607826,0.000453366,0.00001990106,0.01516769,0.9206097,0.01842653,0.005028768,0.000005019871,0.01193648],"study_design_scores_gemma":[0.0002712435,0.0002544546,0.1710707,0.00006381829,0.00005515921,0.00001149745,0.008201137,0.819038,0.0009066002,0.000008754279,0.00004011984,0.00007851836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432651,0.000009194441,0.1564604,0.000005252615,0.0001265233,0.0001032216,0.00000147329,0.0000175014,0.0000112878],"genre_scores_gemma":[0.9984198,0.00001231367,0.001512457,0.00001049683,0.00001835289,0.000006998998,0.000004313154,0.00001114857,0.000004153429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551547,"threshold_uncertainty_score":0.3369079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814702602657966,"score_gpt":0.3038398053284836,"score_spread":0.285692779301904,"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."}}