{"id":"W4224247408","doi":"10.5430/wjel.v12n4p65","title":"Maritime English Learning Materials Based on Standard Training Certification and Watchkeeping for Seafarers (STCW) Curriculum and Intercultural Competence (IC)","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Curriculum; Nonprobability sampling; Medical education; Competence (human resources); Qualitative property; Qualitative research; Crew; Psychology; Pedagogy; Engineering; Sociology; Computer science; Management; Medicine; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226996,0.0002049661,0.0003823191,0.000344778,0.0005457943,0.0004838281,0.0004648167,0.0000377054,0.00004700533],"category_scores_gemma":[0.002482515,0.0001888543,0.00009490328,0.0002969377,0.00005078993,0.0005416234,0.0001877743,0.0008336772,1.990627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281493,"about_ca_system_score_gemma":0.0000547426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002230773,"about_ca_topic_score_gemma":0.00001403485,"domain_scores_codex":[0.9979046,0.0004827551,0.0004787146,0.0003487408,0.000438409,0.0003467796],"domain_scores_gemma":[0.998364,0.0004815591,0.0004527471,0.0002049718,0.0003511967,0.0001454678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004061512,0.0001965261,0.004978986,0.0003136527,0.0001806945,0.0003684297,0.6950178,0.01919708,0.009900326,0.009034508,0.0009072181,0.2594987],"study_design_scores_gemma":[0.01311376,0.005257774,0.004377744,0.002169401,0.0003254373,0.0003771323,0.7377642,0.09387062,0.008601705,0.0004336707,0.1307603,0.002948183],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721454,0.0009472478,0.02345396,0.0004662671,0.001760908,0.0002611485,0.0000234685,0.0002011426,0.000740489],"genre_scores_gemma":[0.9842354,0.00001082797,0.0147304,0.000294175,0.0005733979,0.00001647109,0.00001961288,0.00002485291,0.00009485673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565505,"threshold_uncertainty_score":0.7701257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137047038163801,"score_gpt":0.2377908689536043,"score_spread":0.2264203985719662,"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."}}