{"id":"W4400457826","doi":"10.1128/spectrum.00032-24","title":"A benchmarked comparison of software packages for time-lapse image processing of monolayer bacterial population dynamics","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software; Computer science; Usability; Feature (linguistics); Image processing; Artificial intelligence; Process (computing); Data mining; Population; Frame (networking); Pattern recognition (psychology); Computer vision; Image (mathematics); Human–computer interaction","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":[0.01101432,0.002972756,0.001236834,0.004732114,0.000752022,0.002116166,0.004400336,0.001712261,0.002639079],"category_scores_gemma":[0.02518479,0.001217709,0.002355604,0.003308894,0.001179389,0.002287567,0.002684024,0.002016847,0.00234688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346607,"about_ca_system_score_gemma":0.002320344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009396997,"about_ca_topic_score_gemma":0.006325489,"domain_scores_codex":[0.9933977,0.00125958,0.001077673,0.001213738,0.002516759,0.0005346091],"domain_scores_gemma":[0.9763775,0.01178104,0.00145328,0.002390451,0.007174165,0.0008235643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01015795,0.002818188,0.04080711,0.004923936,0.003028031,0.0009579829,0.001513942,0.147799,0.09003819,0.008075176,0.1139867,0.5758938],"study_design_scores_gemma":[0.0007696869,0.00241181,0.0331842,0.0005807902,0.0006207043,0.0005994356,0.0005668691,0.7882925,0.1305706,0.003888284,0.03796255,0.000552649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4807857,0.004729216,0.2533481,0.0009440831,0.00101828,0.0011475,0.01221693,0.2388202,0.006990057],"genre_scores_gemma":[0.4313632,0.00263469,0.477486,0.00071897,0.0001255852,0.001800206,0.04683438,0.03432724,0.004709618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01101432,"threshold_uncertainty_score":0.05824995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004826820473309585,"score_gpt":0.2684081945616784,"score_spread":0.2635813740883688,"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."}}