{"id":"W3134086589","doi":"10.1016/j.beproc.2021.104373","title":"Traveling through light clutter: Path integration and panorama guided navigation in the Sonoran Desert ant, Novomessor cockerelli","year":2021,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Panorama; Path integration; Foraging; Sensory cue; Weighting; Geography; Path (computing); Context (archaeology); Computer science; Landmark; Computer vision; Ecology; Artificial intelligence; Biology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001490608,0.0001451663,0.0001258659,0.00001467435,0.0001835149,0.00007373447,0.0001173,0.0001743141,0.00001412757],"category_scores_gemma":[0.00006630307,0.0001051951,0.0000375933,0.0001605573,0.00005382428,0.00002393942,0.00003581443,0.0001481332,0.00000392278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009264172,"about_ca_system_score_gemma":0.00009785948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004745502,"about_ca_topic_score_gemma":0.0003741778,"domain_scores_codex":[0.9991429,0.00007058083,0.0002233007,0.0002775535,0.00008795012,0.0001976911],"domain_scores_gemma":[0.9995804,0.00001516054,0.00007099353,0.000145618,0.0001647803,0.00002308415],"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":[0.0000600071,0.0003068247,0.1782938,0.0000873945,0.00001037216,0.0000707951,0.001721052,0.00000362892,0.8158166,0.00007088266,0.0005740687,0.002984535],"study_design_scores_gemma":[0.0006744012,0.0001953941,0.05947596,0.00008681528,0.00006361024,0.0002193513,0.001796725,0.00001821033,0.9361163,0.0002559521,0.0008271006,0.0002702062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974599,0.001015909,0.0002921975,0.0008517209,0.00009194436,0.0001752687,0.00001094821,0.00001122352,0.00009085048],"genre_scores_gemma":[0.9981102,0.0002808487,0.0003771358,0.0004371457,0.0000917442,0.00005211889,0.0004578562,0.00001158993,0.0001813191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202996,"threshold_uncertainty_score":0.4289734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246213665563467,"score_gpt":0.2907174320616649,"score_spread":0.2582552954060303,"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."}}