{"id":"W2081824357","doi":"10.5779/hypothesis.v4i2.66","title":"The Nervous System of C. elegans: Its in vivo Visualization and Practical Applications","year":2008,"lang":"en","type":"article","venue":"Hypothesis","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"In vivo; Visualization; Nervous system; Neuroscience; Caenorhabditis elegans; Biology; Computational biology; Computer science; Biotechnology; Genetics; Artificial intelligence; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001346226,0.00007296336,0.00008894273,0.00002356485,0.0001047776,0.00001013128,0.00006948763,0.0000775197,0.000002445467],"category_scores_gemma":[0.0001190406,0.00006005474,0.00002477079,0.00006774619,0.00007984861,0.000002745038,0.00003378816,0.00003298449,0.000003111028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008341891,"about_ca_system_score_gemma":0.00004062754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559162,"about_ca_topic_score_gemma":0.00002935873,"domain_scores_codex":[0.9994097,0.00005930653,0.0001676973,0.0001590206,0.00008852982,0.0001157727],"domain_scores_gemma":[0.9995691,0.00006302822,0.00006986177,0.0002075736,0.00005783275,0.00003260856],"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":[0.00008628042,0.0002577884,0.01549094,0.0002276675,0.00009086433,0.00001158456,0.001290375,0.0002348727,0.9698409,0.008080801,0.001839366,0.002548538],"study_design_scores_gemma":[0.000423931,0.000140009,0.01605377,0.0000180742,0.00004182785,0.0001889386,0.0006791389,0.00145657,0.9517866,0.0001133353,0.02886456,0.0002332532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853081,0.001172473,0.01242041,0.0001617591,0.00003543046,0.0002860412,0.00000979878,0.00001124203,0.0005948159],"genre_scores_gemma":[0.9977865,0.001114451,0.0006760528,0.00005342092,0.00006856214,0.00004130674,0.000003375979,0.00001374531,0.0002425777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270252,"threshold_uncertainty_score":0.2448961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270342566020208,"score_gpt":0.2519085961360522,"score_spread":0.2292051704758501,"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."}}