{"id":"W4408287171","doi":"10.51325/ejbti.v2i1.120","title":"&lt;b&gt;The Spread of Social Inclusion in the Maritime Industry: A Social Study&lt;/b&gt;&lt;b&gt;&lt;/b&gt;","year":2023,"lang":"en","type":"article","venue":"EuroMid Journal of Business and Tech-innovation (EJBTI)","topic":"Employee Welfare and Language Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep Marie-Victorin","funders":"","keywords":"Inclusion (mineral); Business; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002736923,0.0001627226,0.0001580058,0.001140459,0.004369166,0.002856788,0.0004587056,0.0006535748,0.006233131],"category_scores_gemma":[0.004000888,0.0001101244,0.0001195019,0.001618658,0.005755137,0.001729668,0.002188609,0.0009253324,0.0004136543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008875884,"about_ca_system_score_gemma":0.006054347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4361307,"about_ca_topic_score_gemma":0.4513256,"domain_scores_codex":[0.9982498,0.0009300651,0.0000387878,0.0001165216,0.0004446549,0.0002200664],"domain_scores_gemma":[0.9973429,0.0009840017,0.0004881069,0.0001559064,0.0005380714,0.0004910572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001930484,0.0004051331,0.1741346,0.0005412831,0.00004178394,0.002085828,0.4292611,0.0006782471,0.00587026,0.07114575,0.03113392,0.2845092],"study_design_scores_gemma":[0.00001931278,0.0002040731,0.3737269,0.000661438,0.00003040704,0.0003790049,0.4233696,0.001137414,0.003384778,0.01055809,0.1864202,0.0001087712],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035919,0.00117365,0.002263271,0.02087511,0.0001077415,0.0001587641,0.0002417819,0.00002670151,0.07156109],"genre_scores_gemma":[0.992054,0.0004007906,0.000531841,0.0003921195,0.0000104383,0.00005957232,0.00002833645,0.00001146392,0.006511467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361307,"threshold_uncertainty_score":0.8671843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527673318683983,"score_gpt":0.2601820543814069,"score_spread":0.2349053211945671,"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."}}