{"id":"W4234998890","doi":"10.1021/cen-09632-reactions","title":"Reactions","year":2018,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006957064,0.00007254694,0.00005232877,0.000007506114,0.00009751832,0.00001949521,0.0001208034,0.00004130137,0.004906018],"category_scores_gemma":[0.00006331655,0.0000660967,0.00002993215,0.0001263744,0.000131538,0.00007191326,0.0001101637,0.0000435968,0.008545869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881103,"about_ca_system_score_gemma":0.000007063119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187372,"about_ca_topic_score_gemma":0.000159424,"domain_scores_codex":[0.9994155,0.00002016159,0.0001037003,0.0001641704,0.0001171574,0.0001792713],"domain_scores_gemma":[0.9997058,0.00001862015,0.00003097487,0.0001449967,0.00000496771,0.00009467854],"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":[0.0003144322,0.0006794207,0.2831814,0.00001859213,0.00007858186,0.00006469801,0.000951883,0.0006921138,0.06061016,0.0113944,0.5607123,0.08130203],"study_design_scores_gemma":[0.0003524861,0.0001560109,0.1621316,0.00002341451,0.00002315448,0.00006745429,0.0000345944,0.00449471,0.0009926206,0.002525304,0.8289682,0.0002304498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6562685,0.00001495351,0.04388524,0.0002312837,0.00123859,0.0001046475,0.000086149,0.00008515035,0.2980855],"genre_scores_gemma":[0.9976532,0.000006992605,0.001031564,0.0001856118,0.0001265144,0.00000212111,0.000003682163,0.000003544061,0.0009867346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3413847,"threshold_uncertainty_score":0.9960036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004733406544274738,"score_gpt":0.2231639357416208,"score_spread":0.218430529197346,"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."}}