{"id":"W2050785220","doi":"10.3758/bf03192811","title":"Blocking in landmark-based search in honeybees","year":2001,"lang":"en","type":"article","venue":"Animal Learning & Behavior","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council","keywords":"Landmark; Blocking (statistics); Psychology; Spatial learning; Blocking effect; Artificial intelligence; Computer vision; Communication; Pattern recognition (psychology); Computer science; Cognitive psychology; Neuroscience; Developmental psychology","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":[0.0002587981,0.0001166636,0.0001687644,0.00003229855,0.0001421933,0.00004376332,0.0001342496,0.00007023289,0.0002518616],"category_scores_gemma":[0.00003617206,0.00005248662,0.00004838529,0.0004120236,0.00003253773,0.00006516868,0.00005416188,0.000313683,0.0000489835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002914511,"about_ca_system_score_gemma":0.000005686673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823286,"about_ca_topic_score_gemma":0.01239136,"domain_scores_codex":[0.9989721,0.00008188091,0.0001613225,0.0002422769,0.0001654773,0.0003769847],"domain_scores_gemma":[0.9997595,0.0001319351,0.00002987097,0.00001289971,0.00001957265,0.00004623291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007211407,0.00009764087,0.8206477,0.000001074978,7.906788e-7,0.0001544587,0.00006040062,0.00001730778,0.1579969,0.000008201867,0.00001092057,0.02093253],"study_design_scores_gemma":[0.0001920515,0.0003145626,0.993675,0.00003872439,0.00000395874,0.000006463957,0.000324254,0.0001154102,0.0005672171,0.000001793953,0.004616701,0.0001438484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984683,0.0001485973,9.074232e-8,0.0003813468,0.00001231794,0.0001066784,0.000003491772,0.00005474155,0.0008244258],"genre_scores_gemma":[0.9994664,0.00006122731,0.00001963275,0.00004744882,0.00007921919,0.00002227074,0.00001401542,0.000001185485,0.0002886071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730273,"threshold_uncertainty_score":0.691467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083135628192429,"score_gpt":0.2567658933386942,"score_spread":0.1959345370567699,"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."}}