{"id":"W2124012659","doi":"10.1093/bioinformatics/btr378","title":"Biologically inspired EM image alignment and neural reconstruction","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Computer vision; Dynamic programming; Segmentation; Shortest path problem; Algorithm; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004597122,0.0000850833,0.00006401804,0.00001718996,0.00006345576,0.00001579279,0.00007375916,0.00007564071,0.00001272402],"category_scores_gemma":[0.000009574247,0.00007162196,0.00002491905,0.00003603317,0.00007475434,0.000008115525,0.0000597113,0.0000409685,0.000004489897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000679784,"about_ca_system_score_gemma":0.000009823278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002482113,"about_ca_topic_score_gemma":0.000001805366,"domain_scores_codex":[0.9995646,0.000006228247,0.0001692644,0.00009848779,0.0000295656,0.0001318537],"domain_scores_gemma":[0.9996963,0.000001604238,0.00007426207,0.000156173,0.00002848267,0.00004313457],"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":[0.00004084144,0.00004256697,0.0009191926,0.00002075848,0.00001853613,4.001843e-7,0.0002074964,9.855215e-7,0.9013959,0.001052776,0.0009861651,0.09531439],"study_design_scores_gemma":[0.0003902297,0.0006689185,0.002622937,0.00001098827,0.00001732515,0.0001303422,0.0004546285,0.001375009,0.9735954,0.001397636,0.01897917,0.0003574076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784308,0.0001174874,0.117786,0.00004308494,0.0000443752,0.000258716,0.00002097428,0.00005816417,0.003240336],"genre_scores_gemma":[0.6531681,0.0004066319,0.3457662,0.0004055068,0.0000427447,0.00003933699,0.00006775379,0.000009832112,0.00009380523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279802,"threshold_uncertainty_score":0.2920659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341737314837253,"score_gpt":0.2679032938747742,"score_spread":0.2544859207264016,"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."}}