{"id":"W2100745815","doi":"10.1016/j.neuroimage.2008.07.033","title":"Crinkling and crumpling: An auditory fMRI study of material properties","year":2008,"lang":"en","type":"article","venue":"NeuroImage","topic":"Multisensory perception and integration","field":"Psychology","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Functional magnetic resonance imaging; Object (grammar); Psychology; Neuroscience; Occipital lobe; Temporal lobe; Cognitive psychology; Communication; Audiology; Computer science; Artificial intelligence; Medicine","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":[],"category_scores_codex":[0.00006126798,0.00008726546,0.0001231159,0.00006305689,0.0001016038,0.00001556408,0.00006503942,0.00003940132,0.001053354],"category_scores_gemma":[0.00001938878,0.00007414403,0.00001654809,0.00003260795,0.00008441164,0.0001228989,0.00002019808,0.00009133221,0.00005829073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005297149,"about_ca_system_score_gemma":0.000006315903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152683,"about_ca_topic_score_gemma":0.00002018736,"domain_scores_codex":[0.9992185,0.0001522758,0.0001950514,0.0002289628,0.000101542,0.0001036473],"domain_scores_gemma":[0.9996278,0.000009511766,0.00005551144,0.0002182379,0.0000479105,0.00004105152],"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":[0.0003410185,0.00106444,0.01513779,0.00001753046,0.00001397671,0.00005556933,0.02960076,0.00001098791,0.9490602,0.0000470069,0.002540019,0.00211069],"study_design_scores_gemma":[0.0009950735,0.001162519,0.9865211,0.000006732892,0.00001323528,0.00006683602,0.005486096,0.0002721947,0.004088432,0.000004218834,0.00125058,0.0001329358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959236,0.000007684542,0.00001768696,0.00002726013,0.000977735,0.000222973,0.000003699768,0.00006084234,0.002758502],"genre_scores_gemma":[0.9982648,0.000007041756,0.00005935369,0.00008539472,0.000277167,0.0000131364,0.000002778252,0.00001569574,0.001274628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9713833,"threshold_uncertainty_score":0.9998598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650970708690334,"score_gpt":0.3503939089638872,"score_spread":0.1852968380948538,"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."}}