{"id":"W2395096594","doi":"10.20381/ruor-5878","title":"A Case Study of Creating a Sustainable Marine Transportation Workforce","year":2016,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Organizational Change and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Business; Environmental planning; Engineering; Environmental science; Economics; Economic growth","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":[0.000663833,0.0001432557,0.0002753219,0.001073929,0.0004823724,0.00004403227,0.0003250909,0.0001455813,0.0007553792],"category_scores_gemma":[0.0001543395,0.0001564501,0.00007263535,0.001262198,0.00006705244,0.0007468226,0.0000534426,0.000257735,0.00002830002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006588866,"about_ca_system_score_gemma":0.00009677664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009785922,"about_ca_topic_score_gemma":0.02582214,"domain_scores_codex":[0.9984349,0.00004306741,0.0001910092,0.0002909398,0.0007163485,0.0003237577],"domain_scores_gemma":[0.9976267,0.0001266032,0.0003173882,0.0002158272,0.001692666,0.00002078581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005951298,0.003347456,0.7577745,0.01798065,0.0007907461,0.0223369,0.06421039,0.00006190536,0.0009711346,0.1009144,0.009001583,0.02201528],"study_design_scores_gemma":[0.001968321,0.0001929486,0.07243083,0.0003018443,0.0002170792,0.000007852866,0.9153766,0.00008341982,0.00006834011,0.0009039778,0.008114388,0.0003343927],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473668,0.00001186377,0.00002367195,0.0001270761,0.00005066038,0.0006265729,0.000007361862,0.00002889566,0.05175713],"genre_scores_gemma":[0.9378321,0.000008653075,0.00003406988,0.000005802408,0.0003884843,0.000001466928,0.0003828616,0.00002920865,0.06131741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8511662,"threshold_uncertainty_score":0.996808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07460030482831338,"score_gpt":0.2957177885020161,"score_spread":0.2211174836737027,"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."}}