{"id":"W4376273463","doi":"10.1016/j.resconrec.2023.107031","title":"Tracking end-of-life stage of chemicals: A scalable data-centric and chemical-centric approach","year":2023,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Computer science; Software deployment; Scalability; Pipeline (software); Identification (biology); Data-driven; Data mining; Data science; Artificial intelligence; Database","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":[0.004573167,0.001643813,0.001729442,0.005208715,0.0008263143,0.004131843,0.003321926,0.001211735,0.001485547],"category_scores_gemma":[0.0125839,0.00118311,0.002526562,0.00564593,0.0008948194,0.00688216,0.004830489,0.002371074,0.001272374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956118,"about_ca_system_score_gemma":0.003824275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03161689,"about_ca_topic_score_gemma":0.03941896,"domain_scores_codex":[0.9968875,0.0003547591,0.0002908222,0.001073463,0.00117157,0.0002218032],"domain_scores_gemma":[0.9924572,0.001388278,0.0007002897,0.002942922,0.002006384,0.0005049118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005179933,0.0005950972,0.07563113,0.001199919,0.0008491218,0.001125325,0.001014909,0.4556679,0.01512431,0.03659838,0.04680141,0.3648745],"study_design_scores_gemma":[0.00003687271,0.00006195899,0.005982858,0.00006755257,0.0001087585,0.0001492508,0.0003161643,0.9330644,0.005481319,0.02815963,0.02649836,0.00007294596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0279423,0.00127448,0.8945671,0.001753427,0.0002272233,0.0005378029,0.02782565,0.04208709,0.003784941],"genre_scores_gemma":[0.2495687,0.001002139,0.6890301,0.0004369213,0.0001413827,0.0004080754,0.05614871,0.00144662,0.001817443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03161689,"threshold_uncertainty_score":0.06286573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868542982711446,"score_gpt":0.2782890277138225,"score_spread":0.229603597886708,"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."}}