{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002010418,0.000567726,0.001697958,0.0009813479,0.0001182778,0.00007657624,0.0003688504,0.0004250401,0.0002792163],"category_scores_gemma":[0.0003466241,0.0005423245,0.0004167163,0.001768367,0.0005753547,0.0003230964,0.000187047,0.00113012,0.0002433155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502113,"about_ca_system_score_gemma":0.0002727529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674649,"about_ca_topic_score_gemma":0.01121471,"domain_scores_codex":[0.9970604,0.00004721158,0.0009894412,0.0008994642,0.0005229257,0.0004805495],"domain_scores_gemma":[0.9976112,0.0001308498,0.000812575,0.001045271,0.0001289743,0.0002711941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003334304,0.02626645,0.18663,0.003911037,0.01452513,0.0004754193,0.003482333,0.00003541695,0.3904452,0.001405148,0.3690774,0.003413006],"study_design_scores_gemma":[0.01291672,0.001680289,0.4011997,0.005399294,0.03076988,0.0001172669,0.001966789,0.001605755,0.05948707,0.0003733505,0.4773483,0.007135554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516332,0.00185662,0.003443366,0.0009606002,0.002153663,0.003673045,0.008136503,0.0006471115,0.1274959],"genre_scores_gemma":[0.9470742,0.0005073186,0.0001303952,0.00003622787,0.0002556233,0.0001049996,0.0033634,0.00025815,0.04826964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3309581,"threshold_uncertainty_score":0.9997028,"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."}}