{"id":"W4328024536","doi":"10.5267/j.uscm.2023.1.008","title":"The contribution of cargo loading and discharging time to the loss and gain of coal: Empirical evidence from Indonesian ports","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Jetty; Coal; Environmental science; Operations management; Waste management; Engineering; Geology; Electrical engineering","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":[0.001627144,0.0001911424,0.0002484935,0.0003072894,0.0003287958,0.0002219931,0.0003480275,0.00004342607,0.00007568515],"category_scores_gemma":[0.0001632513,0.0001285403,0.00005161787,0.000802864,0.0001411283,0.0003390309,0.0007544303,0.00007908938,0.00002877697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002679707,"about_ca_system_score_gemma":0.000005968038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004751168,"about_ca_topic_score_gemma":0.0001018337,"domain_scores_codex":[0.9984686,0.00005082056,0.0004269843,0.0003415713,0.0004028177,0.0003092166],"domain_scores_gemma":[0.9989432,0.0003015783,0.0002747603,0.0003551459,0.0001040496,0.00002123803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006000359,0.0001523706,0.6352758,0.001251606,0.0006696166,0.0001198729,0.002592145,0.01416303,0.0005906587,0.08782926,0.1937369,0.06301863],"study_design_scores_gemma":[0.002311042,0.000128968,0.2934715,0.002281666,0.000708257,0.000002027693,0.008132411,0.3970274,0.0009467968,0.01738673,0.276264,0.001339162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795202,0.00207232,0.08036345,0.118716,0.0006297832,0.009157475,0.0000583644,0.001026759,0.008455629],"genre_scores_gemma":[0.9971725,0.0004698727,0.0002942398,0.0007646559,0.0001420951,0.0001040589,0.00007193149,0.0000216281,0.0009589797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3828644,"threshold_uncertainty_score":0.5241721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187051457322295,"score_gpt":0.2559702884357669,"score_spread":0.2372651427035374,"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."}}