{"id":"W2133318270","doi":"10.1093/icb/icm053","title":"Contextual learning and obstacle memory in the walking cat","year":2007,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Obstacle; Context (archaeology); Sensory system; Cognitive psychology; Variety (cybernetics); Communication; Natural (archaeology); Computer science; Psychology; Neuroscience; Biology; Artificial intelligence; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006030848,0.0001161353,0.0001495279,0.00005340154,0.0001175755,0.00001864907,0.0001291013,0.00009962745,0.0000119056],"category_scores_gemma":[0.0002447798,0.00007063171,0.00002243047,0.0001173197,0.0006576761,0.000003888287,0.00008764239,0.0002115558,0.000004443872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190733,"about_ca_system_score_gemma":0.00003387996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008707544,"about_ca_topic_score_gemma":0.001065881,"domain_scores_codex":[0.9990141,0.0002599947,0.000157607,0.0002707815,0.00006207418,0.0002354059],"domain_scores_gemma":[0.9993833,0.0003416494,0.00004484508,0.00009241409,0.00007155307,0.0000662859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002726952,0.0001114621,0.02556287,0.000006210964,0.00007073335,0.000008126179,0.005967561,4.063303e-7,0.8736159,0.02729516,0.0009314397,0.06615744],"study_design_scores_gemma":[0.002842251,0.003917876,0.1994622,0.00005667614,0.00002389617,0.0001494414,0.1186562,0.0003334455,0.2462182,0.005570009,0.422011,0.0007588236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864392,0.001863412,0.004976798,0.000394997,0.00001960514,0.0002291187,0.000006497594,0.0000051763,0.006065235],"genre_scores_gemma":[0.9988198,0.0001707449,0.0002025515,0.0003416554,0.00006894489,0.00004233456,0.0000554385,0.000003365282,0.0002952136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6273977,"threshold_uncertainty_score":0.2880278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657921046163565,"score_gpt":0.3679330235413246,"score_spread":0.331353813079689,"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."}}