{"id":"W2800188643","doi":"10.4043/28697-ms","title":"Hebron's Labor Empowerment Strategy – A Legacy of Success","year":2018,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Business; Labour economics; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009956704,0.000422551,0.000319319,0.0008820485,0.02179586,0.01025539,0.001347389,0.002668551,0.004469016],"category_scores_gemma":[0.006367036,0.0002960847,0.0001876197,0.0008950636,0.01629189,0.0042729,0.009166426,0.003213393,0.0007582118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02524938,"about_ca_system_score_gemma":0.07029992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2583592,"about_ca_topic_score_gemma":0.4601541,"domain_scores_codex":[0.9917594,0.00247272,0.0001792265,0.0009882578,0.002103405,0.002497072],"domain_scores_gemma":[0.9943607,0.001226108,0.0003864675,0.0003889054,0.001059926,0.002577921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.0001954173,0.0002832986,0.01327195,0.0002744209,0.00002601237,0.001296969,0.1585154,0.0005774579,0.002153506,0.4214388,0.09889146,0.3030753],"study_design_scores_gemma":[0.00002234626,0.0001027231,0.007159284,0.0004222037,0.000007545138,0.0002510379,0.08576325,0.0003623704,0.001083104,0.01422534,0.8905389,0.00006187477],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3596797,0.003543543,0.009590628,0.1298331,0.0008944396,0.000229364,0.0001033809,0.0001294477,0.4959965],"genre_scores_gemma":[0.802634,0.001399575,0.005432389,0.01174869,0.000093072,0.0001444324,0.00005464766,0.0001177499,0.1783755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2583592,"threshold_uncertainty_score":0.5137107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067023616202786,"score_gpt":0.2329558411207498,"score_spread":0.2222856049587219,"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."}}