{"id":"W2357813405","doi":"","title":"Time to embrace reverse logistics : bloated inventories have come to characterize the current state of U.S. manufacturers and retailers for the first quarter of 2016, forcing logistics managers to apply classic reverse strategies to wring out supply chain waste","year":2016,"lang":"en","type":"article","venue":"Logistics management (Highlands Ranch, Colo. : 2002)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Quarter (Canadian coin); Reverse logistics; State (computer science); Business; Operations research; Operations management; Marketing; Economics; Supply chain; Engineering; Computer science; History; Mathematics; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001196122,0.0005304141,0.0006299777,0.0002733775,0.0003362099,0.0001672263,0.001012172,0.00007942753,0.0001101702],"category_scores_gemma":[0.0002457912,0.0003357596,0.0001253042,0.0004703759,0.0005029262,0.0001612896,0.00101324,0.0001839878,0.0001401196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555337,"about_ca_system_score_gemma":0.00001621595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245225,"about_ca_topic_score_gemma":0.0004781145,"domain_scores_codex":[0.9967499,0.0001022157,0.0009064543,0.0008050037,0.0006300563,0.0008063914],"domain_scores_gemma":[0.9978067,0.0004522524,0.0004527426,0.0009409084,0.00008908399,0.0002583427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002330024,0.0003453328,0.00328693,0.001490808,0.0006822846,0.00005233983,0.00511555,0.1781105,0.002009693,0.002279488,0.6603314,0.1439656],"study_design_scores_gemma":[0.003140009,0.002685866,0.02635491,0.001814973,0.001093049,0.00000246656,0.004131884,0.01402288,0.002276266,0.003380114,0.9389606,0.002136988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02187684,0.00006826886,0.945196,0.016706,0.0009458233,0.0090525,0.0007370935,0.0002170673,0.005200371],"genre_scores_gemma":[0.977792,0.000408641,0.004995106,0.001613853,0.0001091946,0.0005784223,0.00003110176,0.00007265271,0.01439898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9559152,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165016433874975,"score_gpt":0.2359685742261431,"score_spread":0.2194669308386457,"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."}}