{"id":"W4407125224","doi":"10.3758/s13414-025-03011-y","title":"The haptic cues humans use to sense small numbers of objects in a box","year":2025,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Communication; Haptic technology; Psychology; Sense (electronics); Computer science; Cognitive psychology; Artificial intelligence","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":[0.00005638601,0.0001314424,0.0001362048,0.0001602265,0.0002338539,0.0001069756,0.0001374781,0.00005259872,0.000049863],"category_scores_gemma":[0.0001274089,0.0001158825,0.0001419678,0.0006238162,0.00008630568,0.0002908711,0.00002983989,0.0001987135,0.0002410052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007313145,"about_ca_system_score_gemma":0.00002243636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435701,"about_ca_topic_score_gemma":0.0006684163,"domain_scores_codex":[0.9987854,0.0001506949,0.0003335052,0.0003389902,0.0001791297,0.0002122942],"domain_scores_gemma":[0.9991049,0.0002709528,0.00009791461,0.0003983135,0.00008343947,0.00004451747],"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":[0.0001001067,0.0002145365,0.001885423,0.00001212158,0.000007945912,0.000002732857,0.001308876,0.0001443857,0.9863751,0.005676517,0.001373561,0.002898707],"study_design_scores_gemma":[0.003274653,0.0005333393,0.854059,0.0006228707,0.0001668746,0.00003168264,0.01898334,0.003458246,0.0656773,0.01446386,0.03755611,0.001172767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917228,8.850257e-7,0.001469602,0.001355877,0.0009325322,0.0003125787,0.00001029658,0.00005278335,0.004142685],"genre_scores_gemma":[0.9913322,0.00004882136,0.0001281747,0.001345331,0.0000426138,0.00003581335,0.000003777872,0.00001263513,0.007050659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9206978,"threshold_uncertainty_score":0.4725551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04246418881659603,"score_gpt":0.3233053442379197,"score_spread":0.2808411554213237,"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."}}