{"id":"W3089257814","doi":"","title":"Quantitative prediction for two-dimensional bacterial genomic displays","year":2005,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computational biology; Biology","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":[0.0007055472,0.0005849372,0.0005106851,0.0006291137,0.0002402064,0.001232661,0.0008760807,0.0006776678,0.001629043],"category_scores_gemma":[0.004148989,0.000355713,0.0004590777,0.0006464789,0.0004101784,0.0007659488,0.0004777514,0.000755981,0.0004053836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201576,"about_ca_system_score_gemma":0.0003462369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805132,"about_ca_topic_score_gemma":0.001369973,"domain_scores_codex":[0.9995597,0.00009049872,0.00001441933,0.00009602152,0.0001945425,0.00004475289],"domain_scores_gemma":[0.9965979,0.002490311,0.0002370481,0.0001615276,0.0003789911,0.0001341724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005232083,0.0001824436,0.005135669,0.0002380922,0.00003856999,0.0001067324,0.00007696746,0.5565033,0.3507803,0.01579539,0.001451918,0.06916748],"study_design_scores_gemma":[0.000005209365,0.00002741956,0.001176216,0.000003105413,0.00000313639,0.00001362664,0.000007271285,0.9672238,0.02903688,0.002331246,0.0001632429,0.000008730652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454967,0.0002719301,0.7488406,0.0002837052,0.00003194827,0.00006153523,0.0009946481,0.00222127,0.001797625],"genre_scores_gemma":[0.9059916,0.0002496453,0.09068944,0.00003545914,0.00002183064,0.0001020787,0.001226604,0.0002077358,0.001475683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001805132,"threshold_uncertainty_score":0.008718014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008747792453693693,"score_gpt":0.2485702839378476,"score_spread":0.2398224914841539,"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."}}