{"id":"W4387798141","doi":"10.1177/03010066231207324","title":"Humans can sense large numbers of objects in a box by touch alone","year":2023,"lang":"en","type":"article","venue":"Perception","topic":"Multisensory perception and integration","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Container (type theory); Perception; Space (punctuation); Haptic technology; Content (measure theory); Computer science; Psychology; Mathematics; Artificial intelligence; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000233093,0.0001230058,0.0001815685,0.00023669,0.00005431812,0.00001142674,0.0000575371,0.0001574975,0.01258485],"category_scores_gemma":[0.00003062755,0.0001271697,0.00006963139,0.0003695963,0.0000434773,0.00007545059,0.00001480638,0.0001646236,0.00248411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021044,"about_ca_system_score_gemma":0.00001211564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580231,"about_ca_topic_score_gemma":0.005787117,"domain_scores_codex":[0.9987844,0.0001726425,0.0003048754,0.000285434,0.0001720406,0.000280602],"domain_scores_gemma":[0.9995601,0.00002725643,0.00007106873,0.0002361619,0.00005038478,0.00005502577],"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":[0.0001560023,0.0004752357,0.03067038,0.00003966171,0.00002626294,0.00002108022,0.1183222,0.00002557388,0.6234763,0.0003994044,0.2181848,0.008203046],"study_design_scores_gemma":[0.002246039,0.0001741546,0.9350283,0.00004914969,0.00001774338,0.00001319772,0.05012847,0.001333953,0.000634944,0.00009406189,0.009963892,0.0003161611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810288,0.000006556567,0.0001155525,0.0003065822,0.0003742297,0.0002270409,0.00008891438,0.0001281314,0.0177242],"genre_scores_gemma":[0.9839045,0.00004126643,0.00005696005,0.000325446,0.00007899902,0.00004165323,0.0004314856,0.00002172862,0.01509792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9043579,"threshold_uncertainty_score":0.9982926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364808649390853,"score_gpt":0.3537031786735971,"score_spread":0.3200550921796886,"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."}}