{"id":"W4406585539","doi":"10.1016/s0967-0653(98)83773-3","title":"10.1016/s0967-0653(98)83773-3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Degradation (telecommunications); Environmental science; Environmental chemistry; Chemistry; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001290263,0.002952596,0.002147061,0.003195437,0.002455892,0.004190456,0.0037894,0.005680978,0.9894724],"category_scores_gemma":[0.001760549,0.001061699,0.001988649,0.002761571,0.002324234,0.005611039,0.003351479,0.002981645,0.9918756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285967,"about_ca_system_score_gemma":0.001045646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544658,"about_ca_topic_score_gemma":0.002994081,"domain_scores_codex":[0.9993001,0.00004623001,0.0000628631,0.0002482052,0.0001964214,0.0001460984],"domain_scores_gemma":[0.9974653,0.0006760875,0.0001845163,0.0002548015,0.0005615166,0.0008578689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004982144,0.0003034138,0.0007653172,0.0008087705,0.00005857419,0.0003163828,0.0001442814,0.0004625588,0.002746137,0.005265414,0.3322618,0.6563691],"study_design_scores_gemma":[0.00006516693,0.0001440103,0.0005340262,0.0003598811,0.00001643217,0.0004017641,0.0001107401,0.0001935207,0.0003910967,0.000613799,0.9971423,0.00002709276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004945456,0.000557476,0.000950516,0.0004568818,0.0003903729,0.0001382301,0.0006594764,0.000856914,0.9954956],"genre_scores_gemma":[0.000481885,0.0002359866,0.0003915597,0.0001882832,0.00007891238,0.00006073524,0.0003041144,0.0001327416,0.9981257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01052755,"threshold_uncertainty_score":0.01501626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004888810462803884,"score_gpt":0.1606876921511469,"score_spread":0.1557988816883431,"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."}}