{"id":"W4406534894","doi":"10.1016/0967-0653(93)95080-p","title":"10.1016/0967-0653(93)95080-p","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); Phenols; Natural (archaeology); Bacteria; Chemistry; Environmental chemistry; Environmental science; Biology; Organic chemistry; Computer science; Paleontology","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":[0.0011275,0.002738961,0.001723423,0.002892754,0.002523419,0.003496544,0.003495359,0.005407503,0.9900506],"category_scores_gemma":[0.001738843,0.001105554,0.001845488,0.002161255,0.00229187,0.004925667,0.003296025,0.002692044,0.9908654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008367,"about_ca_system_score_gemma":0.0008778479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572766,"about_ca_topic_score_gemma":0.003570628,"domain_scores_codex":[0.9994261,0.00004142539,0.00005150416,0.0001921836,0.0001591325,0.0001296182],"domain_scores_gemma":[0.9977782,0.0006350764,0.0001216435,0.0002216301,0.000416866,0.0008264628],"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":[0.0004963414,0.0003963753,0.0009629145,0.0007699652,0.00005450128,0.0003769713,0.0001449449,0.0004873902,0.003175782,0.004762481,0.3701413,0.6182312],"study_design_scores_gemma":[0.0000783478,0.0001767733,0.0009819227,0.0003461604,0.00001787424,0.0004896572,0.0001485505,0.0002045811,0.0005235887,0.000832752,0.9961715,0.00002825464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005094934,0.0003777952,0.0008011364,0.000453832,0.0003147989,0.000139352,0.0006309342,0.0007718481,0.9960008],"genre_scores_gemma":[0.000653893,0.0002465523,0.0004497136,0.0002468879,0.0001023134,0.00006731578,0.0003904201,0.0001581276,0.9976848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009949446,"threshold_uncertainty_score":0.01419157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004208544250066192,"score_gpt":0.1526337600335114,"score_spread":0.1484252157834452,"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."}}