{"id":"W2909386398","doi":"10.1242/jeb.190405","title":"Configural learning: a higher form of learning in<i>Lymnaea</i>","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lymnaea stagnalis; Lymnaea; Predator; Context (archaeology); Psychology; Recall; Biology; Conditioning; Communication; Neuroscience; Zoology; Cognitive psychology; Snail; Ecology; Predation; Mathematics","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":[0.00006336737,0.0002069461,0.0001554508,0.0001648313,0.0001767994,0.0002962623,0.0001983579,0.0002141453,0.001586676],"category_scores_gemma":[0.0001385515,0.0001248981,0.000201849,0.00007624769,0.0003817074,0.0002988928,0.0004104366,0.000512941,0.000175595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002511336,"about_ca_system_score_gemma":0.0001823271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008584064,"about_ca_topic_score_gemma":0.002564724,"domain_scores_codex":[0.9999547,0.000004496871,0.00000466379,0.00001601337,0.000008731474,0.00001144899],"domain_scores_gemma":[0.9998597,0.000008048924,0.00006229038,0.0000206265,0.00001048783,0.00003880569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009354699,0.00005076941,0.007629158,0.00006631052,0.000007999174,0.00008272452,0.00009400711,0.00008876121,0.9870343,0.0001028169,0.00003566117,0.004713926],"study_design_scores_gemma":[0.0000246662,0.002244304,0.7532867,0.00003098146,0.00002854919,0.001133712,0.0003387544,0.001156148,0.2383819,0.0006615215,0.002677484,0.00003533897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983159,0.00006656415,0.0005846907,0.00002952536,0.000002438901,0.00001015268,0.00005493992,0.00003830395,0.0008974326],"genre_scores_gemma":[0.9967038,0.00008172447,0.001644692,0.00005097553,0.000002459236,0.00002252932,0.0001034246,0.000009267074,0.001381121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001586676,"threshold_uncertainty_score":0.005307972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264664968195178,"score_gpt":0.3327999899509897,"score_spread":0.3001533402690379,"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."}}