{"id":"W2547940632","doi":"10.1038/srep36459","title":"Graded Mirror Self-Recognition by Clark’s Nutcrackers","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mirror image; Computer science; Test (biology); Artificial intelligence; Cache; Reflection (computer programming); Task (project management); Psychology; Computer vision; Mathematics; Biology; Ecology; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007362119,0.0001610042,0.0001347708,0.0001738182,0.0004038785,0.0002548902,0.0001237685,0.0001032099,0.002866953],"category_scores_gemma":[0.0004809872,0.0001152453,0.0001115445,0.0004577362,0.0002726081,0.0005684764,0.00003704898,0.00009382893,0.003285927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008723506,"about_ca_system_score_gemma":0.00007150231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176366,"about_ca_topic_score_gemma":0.00001212818,"domain_scores_codex":[0.9974501,0.0001381099,0.0004148212,0.0009974299,0.0006114751,0.000388087],"domain_scores_gemma":[0.998869,0.00008569908,0.0002445404,0.0004913927,0.0001080804,0.0002013072],"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":[0.000006383432,0.000101514,0.0003011785,0.000008100188,0.000002032986,0.00005489438,0.0001295687,2.387668e-8,0.9253189,0.000008258065,0.05978144,0.01428773],"study_design_scores_gemma":[0.0002776897,0.00002947979,0.0003575094,0.00004657021,0.00001299798,0.0003217357,0.00004359624,0.00001217346,0.8050582,0.009015885,0.184571,0.0002531871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865623,0.00001117845,0.0001347347,0.001054303,0.00706618,0.0003604562,0.00003084066,0.0004141644,0.004365833],"genre_scores_gemma":[0.9874114,0.00003302535,0.0002897554,0.0003804996,0.0000390145,0.00004369165,0.0000598978,0.00002148094,0.01172125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247896,"threshold_uncertainty_score":0.9980446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436227766529325,"score_gpt":0.2694456766600653,"score_spread":0.2250833989947721,"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."}}