{"id":"W2073594070","doi":"10.4236/ojas.2013.33a001","title":"Encoding of local and global cues in domestic dogs’ spatial working memory","year":2013,"lang":"en","type":"article","venue":"Open Journal of Animal Sciences","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Université de Moncton","keywords":"Object (grammar); Sensory cue; Psychology; Communication; Encoding (memory); Cognitive psychology; Social cue; Computer science; Artificial intelligence","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":[0.0002973769,0.0002191188,0.0002465942,0.0002847394,0.00008935547,0.0003974252,0.0002637873,0.0002799015,0.0007491444],"category_scores_gemma":[0.0008287845,0.000169407,0.0001020275,0.0001372673,0.000480308,0.0005621277,0.0004591131,0.0002837359,0.00009685497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313107,"about_ca_system_score_gemma":0.0001097273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003982062,"about_ca_topic_score_gemma":0.0006985199,"domain_scores_codex":[0.9998331,0.00003224071,0.00001456016,0.00005829744,0.00003262141,0.00002913461],"domain_scores_gemma":[0.9994248,0.0000779012,0.0002677874,0.00008418246,0.00006078732,0.0000845242],"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":[0.002289169,0.0005900738,0.2352479,0.0002875839,0.0001597512,0.0005705344,0.004569173,0.0006661435,0.6623484,0.0007850424,0.0003516721,0.09213448],"study_design_scores_gemma":[0.00004700417,0.002139823,0.9322062,0.00004735616,0.0001193147,0.0006803505,0.001904091,0.002289556,0.05774158,0.00148697,0.001290957,0.00004684744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990482,0.00006352595,0.0006357183,0.00001443042,0.00000187187,0.000001976648,0.00001115701,0.000004369517,0.0002187151],"genre_scores_gemma":[0.9989811,0.00004808023,0.0007092028,0.00001025987,0.000001829237,0.000004507977,0.00003824191,0.000002255215,0.0002046231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007491444,"threshold_uncertainty_score":0.002506137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991609632168305,"score_gpt":0.381906800828668,"score_spread":0.341990704506985,"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."}}