{"id":"W3034884730","doi":"10.1101/2020.06.15.152777","title":"New insights on the modelling of the molecular mechanisms underlying neural maps alignment in the midbrain","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Centre National de la Recherche Scientifique","keywords":"Superior colliculus; Midbrain; Computer science; Artificial intelligence; Neuroscience; Robustness (evolution); Saliency map; Pattern recognition (psychology); 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":[0.0004667134,0.0005450233,0.0005492111,0.0006496168,0.0003888871,0.001383007,0.001242036,0.001076815,0.002107908],"category_scores_gemma":[0.0014032,0.0003567611,0.000922424,0.0003457821,0.001072772,0.001127587,0.0009707795,0.0009104663,0.0003608337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007186144,"about_ca_system_score_gemma":0.0007679929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003740504,"about_ca_topic_score_gemma":0.001852388,"domain_scores_codex":[0.9998604,0.0000467079,0.000006492104,0.0000282326,0.00003830793,0.0000199834],"domain_scores_gemma":[0.9996294,0.0001571648,0.00007154636,0.00004630354,0.00004674519,0.00004892532],"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":[0.00002491644,0.00001106386,0.0004492377,0.00002571992,0.00001460638,0.0000633098,0.00004045023,0.9510618,0.005537285,0.04062035,0.0001297744,0.002021357],"study_design_scores_gemma":[0.000002710973,0.000006324378,0.0001186391,0.000003121728,0.000001819162,0.00001018081,0.000005782058,0.9909698,0.0003869084,0.008235423,0.0002558516,0.00000333462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1398076,0.0002491426,0.851976,0.0003220885,0.00004290103,0.00003679412,0.000224709,0.0003444344,0.0069963],"genre_scores_gemma":[0.9028456,0.0002971542,0.09336136,0.00006217243,0.00002600591,0.0001224634,0.000180769,0.0002332153,0.002871276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003740504,"threshold_uncertainty_score":0.007437408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297565236839201,"score_gpt":0.2188929308651693,"score_spread":0.1891364071812492,"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."}}