{"id":"W2037032616","doi":"10.1371/journal.pone.0015231","title":"Use of Spatial Information and Search Strategies in a Water Maze Analog in Drosophila melanogaster","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drosophila melanogaster; Morris water navigation task; Water maze; Drosophila (subgenus); Spatial learning; Sensory cue; Biology; Neuroscience; Melanogaster; Computer science; Artificial intelligence; Animal behavior; Underpinning; Machine learning; Cognitive psychology; Cognition; Psychology; Genetics; Zoology","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":[0.00007311331,0.0002434424,0.0001510889,0.0003677636,0.0001103759,0.0002446885,0.0002067629,0.000190539,0.0004147933],"category_scores_gemma":[0.0002738389,0.00009726035,0.0001828369,0.0001172467,0.000290636,0.0002294844,0.0002436283,0.0003173823,0.00009281345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901448,"about_ca_system_score_gemma":0.0001224667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008694444,"about_ca_topic_score_gemma":0.001873838,"domain_scores_codex":[0.9999245,0.00001370631,0.00000898128,0.00002629273,0.00001720653,0.000009346778],"domain_scores_gemma":[0.9997705,0.00004681844,0.00008954288,0.00003817669,0.00002131819,0.00003376093],"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":[0.0002107717,0.00005408136,0.007147098,0.00004941061,0.00001617496,0.00004466176,0.00008205355,0.0007531819,0.9821529,0.0006052991,0.00004437366,0.008840062],"study_design_scores_gemma":[0.00006228436,0.002000917,0.30259,0.00004958417,0.0001040462,0.0006653129,0.0002821092,0.02175962,0.6671835,0.002108425,0.003091982,0.0001021483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969409,0.0001283586,0.002140567,0.00001359285,0.000001490272,0.000008661823,0.0001484508,0.00003043451,0.0005874976],"genre_scores_gemma":[0.9918099,0.0001339117,0.006721162,0.00002579224,0.000001188376,0.00003137394,0.0003488855,0.0000189212,0.0009089097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008694444,"threshold_uncertainty_score":0.002105117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612577202425329,"score_gpt":0.2720888618093094,"score_spread":0.1959630897850561,"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."}}