{"id":"W7029281697","doi":"","title":"Identification of synergistic interactions among microorganisms in biofilms by digital image analysis","year":2010,"lang":"en","type":"other","venue":"Estudis Romànics (Institut d'Estudis Catalans)","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Iowa State University; U.S. Department of Energy","keywords":"Biofilm; Identification (biology); Microorganism; Digital image analysis; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320886,0.0003793609,0.0003209656,0.003489269,0.0002713835,0.0006440136,0.0002866302,0.000447147,0.002020555],"category_scores_gemma":[0.0004001807,0.0002173817,0.0003779478,0.001659494,0.0002754151,0.0004005324,0.0005065114,0.0003782405,0.0004702348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543552,"about_ca_system_score_gemma":0.0002609972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422799,"about_ca_topic_score_gemma":0.002650336,"domain_scores_codex":[0.9997435,0.00002139089,0.00001812432,0.00005176934,0.00012363,0.00004163141],"domain_scores_gemma":[0.9997479,0.00005264011,0.00005067891,0.0000231614,0.00009786434,0.00002773764],"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":[0.0002614396,0.0001148547,0.009972665,0.0002654298,0.00004490881,0.0001497686,0.0001830202,0.000428149,0.8952506,0.0002943267,0.0004058038,0.09262908],"study_design_scores_gemma":[0.00003258788,0.0003313004,0.2318443,0.00005167859,0.0002652947,0.001622929,0.0009099498,0.03230244,0.7251869,0.0006184968,0.006763035,0.00007104399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352254,0.002402195,0.05273864,0.0001467907,0.00008100541,0.0001724548,0.001403488,0.0004782509,0.007351666],"genre_scores_gemma":[0.8500589,0.001885395,0.1411977,0.00005522429,0.00004924315,0.0001667416,0.0008723079,0.00006092385,0.005653552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003489269,"threshold_uncertainty_score":0.006759465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008305767547061508,"score_gpt":0.2791152308871928,"score_spread":0.2708094633401313,"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."}}