{"id":"W2144826831","doi":"10.1017/s143192760909922x","title":"Biofilms, Minerals, and Bronchioles: Understanding Microenvironments Through Correlative Microscopy","year":2009,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microscopy; Correlative; Microanalysis; Biofilm; Materials science; Mineralogy; Nanotechnology; Chemistry; Geology; Pathology; Medicine; Bacteria; Paleontology; Philosophy","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":[0.0003103332,0.0001730295,0.0001915304,0.0008056305,0.0003907437,0.0005343543,0.000466844,0.000487876,0.001706938],"category_scores_gemma":[0.000382238,0.0002345794,0.000131558,0.0002936378,0.0004904061,0.0008067821,0.0005679665,0.0005877239,0.0002525176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091546,"about_ca_system_score_gemma":0.000248962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002904795,"about_ca_topic_score_gemma":0.007554463,"domain_scores_codex":[0.9998714,0.00001613013,0.00000605531,0.00002832709,0.00005231339,0.00002574132],"domain_scores_gemma":[0.9998299,0.00004982164,0.00003401652,0.00001654257,0.00004395403,0.00002577407],"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":[0.00009191727,0.00002880886,0.003693381,0.0001134801,0.00001073906,0.0001728687,0.0001612878,0.0002268044,0.9845781,0.0006595783,0.0003790174,0.009884165],"study_design_scores_gemma":[0.0000436236,0.000250341,0.1972032,0.00009712843,0.00007795452,0.001950085,0.001305209,0.01673749,0.7597854,0.004240392,0.01824209,0.00006700823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964283,0.01751952,0.07416588,0.001788056,0.0002141092,0.0001556028,0.001197492,0.0003199738,0.008210953],"genre_scores_gemma":[0.9280168,0.003822327,0.06268329,0.0003091457,0.0001449674,0.00008104857,0.0003833604,0.0000620471,0.004497031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002904795,"threshold_uncertainty_score":0.00577575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921631121203959,"score_gpt":0.2634939285780975,"score_spread":0.2442776173660579,"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."}}