{"id":"W2985750174","doi":"10.1242/jeb.212886","title":"Configural learning in freshly collected, smart, wild Lymnaea","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lymnaea; Crayfish; Lymnaea stagnalis; Predator; Snail; Biology; Strain (injury); Predation; Zoology; Ecology; Anatomy","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":[0.00008911831,0.000214579,0.000159245,0.000327949,0.0002297287,0.0003029639,0.0002380809,0.0002278818,0.0009313981],"category_scores_gemma":[0.0003188015,0.0001655055,0.0001700323,0.00007903148,0.0005697533,0.0002602405,0.0003779105,0.000541246,0.0001581093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417774,"about_ca_system_score_gemma":0.0001414211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590554,"about_ca_topic_score_gemma":0.005271421,"domain_scores_codex":[0.9999207,0.000009047681,0.00000868787,0.00003199616,0.00001369437,0.00001587003],"domain_scores_gemma":[0.9997308,0.00002338017,0.00006899775,0.00003887188,0.00002668574,0.0001113141],"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":[0.000555399,0.000377205,0.01701983,0.00004675089,0.00001501783,0.0001978952,0.0004947659,0.00009407095,0.9790186,0.00006403327,0.00004330048,0.00207311],"study_design_scores_gemma":[0.0001093754,0.007218872,0.8416377,0.00002766842,0.00004527953,0.0008829143,0.001639709,0.0009819233,0.1458085,0.0002750826,0.001322643,0.00005030989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997826,0.00001454111,0.00005064409,0.000006902183,9.99158e-7,0.000005113843,0.00005879021,0.000004964979,0.00007556605],"genre_scores_gemma":[0.9979178,0.00004275147,0.0005895761,0.00004891893,0.000002155757,0.00003407719,0.0002125337,0.000007275014,0.001144875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002590554,"threshold_uncertainty_score":0.005150914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615944037146599,"score_gpt":0.3188648712706569,"score_spread":0.2927054308991909,"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."}}