{"id":"W3091418860","doi":"10.7554/elife.59754","title":"New insights on the modeling of the molecular mechanisms underlying neural maps alignment in the midbrain","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Centre National de la Recherche Scientifique; Université de Strasbourg; University Health Network","keywords":"Superior colliculus; Midbrain; Artificial intelligence; Neuroscience; Computer science; Robustness (evolution); Computational model; Biology; Pattern recognition (psychology); Genetics","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":[0.0004434638,0.0005708454,0.0005673027,0.0005245128,0.0004499294,0.001196452,0.001534957,0.001057672,0.001653578],"category_scores_gemma":[0.001382883,0.0003816916,0.0008371912,0.0003222008,0.0008907499,0.001338767,0.0009904311,0.0009430543,0.0002907948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007346526,"about_ca_system_score_gemma":0.0009285848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004985554,"about_ca_topic_score_gemma":0.003095594,"domain_scores_codex":[0.9998889,0.00003177923,0.000005506834,0.00002351337,0.00003255352,0.00001775751],"domain_scores_gemma":[0.9997308,0.0001109365,0.00004773222,0.00003487638,0.00003719499,0.0000384524],"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":[0.00001696888,0.00001007466,0.0004080251,0.0000191259,0.00001350161,0.00005512896,0.00003639162,0.9531557,0.00355196,0.04027315,0.0001605248,0.002299347],"study_design_scores_gemma":[0.000002094917,0.000004006532,0.00008996682,0.000002430242,0.000001721632,0.000008927661,0.000004794024,0.9920496,0.0002320814,0.007387713,0.0002140345,0.000002535252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1012828,0.0002889318,0.8896277,0.0004392512,0.00004049834,0.00003162037,0.0002084623,0.0003528667,0.00772788],"genre_scores_gemma":[0.8692484,0.0005135052,0.1262753,0.0001066011,0.00004017395,0.0001556908,0.0002115948,0.0002549146,0.003193754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004985554,"threshold_uncertainty_score":0.009913027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322815283780468,"score_gpt":0.2419428032938614,"score_spread":0.2087146504560567,"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."}}