{"id":"W4307140362","doi":"10.1016/j.scitotenv.2022.159577","title":"Optimization of biofilm conductance measurement with two-electrode microbial electrochemical cells (MECs)","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Conductance; Biofilm; Anode; Analytical Chemistry (journal); Voltage; Ohm; Electrode; Chemistry; Materials science; Optoelectronics; Electrical engineering; Physics; Environmental chemistry; Bacteria; Engineering; Condensed matter physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002266997,0.001861093,0.001229415,0.0006649921,0.0005417177,0.0009562894,0.00143684,0.001924702,0.000730052],"category_scores_gemma":[0.003704591,0.0006837421,0.0007032878,0.0007121045,0.000505981,0.0008276989,0.0009726717,0.001545653,0.0006038161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773272,"about_ca_system_score_gemma":0.0007440393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138596,"about_ca_topic_score_gemma":0.004316794,"domain_scores_codex":[0.996588,0.0007322372,0.0002829495,0.0008596492,0.001326955,0.0002102547],"domain_scores_gemma":[0.998026,0.0008826504,0.0001294812,0.0001911758,0.0006578831,0.0001128554],"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":[0.00006410394,0.00005827597,0.0003510021,0.00007066964,0.00001226644,0.00002487089,0.00003870409,0.0001439636,0.9952808,0.00006508828,0.00009221763,0.003798022],"study_design_scores_gemma":[0.00001344812,0.0001863332,0.001526526,0.000007384769,0.00001899776,0.00006758203,0.00003543161,0.003678877,0.9934637,0.00007028182,0.0009111632,0.0000201675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7050631,0.002564878,0.2838786,0.001340259,0.0006407264,0.0009793901,0.001388574,0.001854404,0.002290085],"genre_scores_gemma":[0.6970087,0.001600681,0.2968557,0.0006142341,0.00008775524,0.001006809,0.001153787,0.0002266379,0.001445724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002266997,"threshold_uncertainty_score":0.01198918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006743643326935167,"score_gpt":0.1691818325302343,"score_spread":0.1624381892032991,"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."}}