{"id":"W1970364364","doi":"10.1021/bp0700962","title":"Polymer Selection for Biphenyl Degradation in a Solid-Liquid Two-Phase Partitioning Bioreactor","year":2007,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biphenyl; Biodegradation; Bioreactor; Polymer; Chemical engineering; Chemistry; Phase (matter); Degradation (telecommunications); Chromatography; Organic chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939939,0.000655244,0.0005599255,0.0003071202,0.0002273809,0.0005337254,0.0003729528,0.0003807335,0.0007589524],"category_scores_gemma":[0.0003764413,0.000252677,0.0002962637,0.0003226093,0.000185784,0.0003519011,0.0004799963,0.0004788778,0.0007130981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140377,"about_ca_system_score_gemma":0.0004383925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008529315,"about_ca_topic_score_gemma":0.001011724,"domain_scores_codex":[0.9995524,0.0001057328,0.00003909184,0.00008591291,0.000146835,0.00007006379],"domain_scores_gemma":[0.9997699,0.00006991455,0.00006237216,0.00002041576,0.00003921432,0.00003827298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002686012,0.00002163681,0.00004183571,0.00001223548,0.000001195423,0.00001480502,0.000003818775,0.000066466,0.999231,0.00001240996,0.000006526381,0.0005612808],"study_design_scores_gemma":[0.000006342347,0.0001142051,0.0002058741,0.000001731882,0.000004981794,0.00003713323,0.000005939815,0.0007236428,0.9986449,0.000006335854,0.0002460892,0.000002959202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810116,0.0004449657,0.01680609,0.0001220495,0.00002046526,0.0001142429,0.0001728738,0.0002816957,0.00102594],"genre_scores_gemma":[0.9716002,0.0005554718,0.02501756,0.00005956436,0.00001213643,0.0001273884,0.0004201197,0.00008518363,0.002122388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008529315,"threshold_uncertainty_score":0.002538919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437347718516817,"score_gpt":0.3072600692475275,"score_spread":0.2928865920623593,"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."}}