{"id":"W1998042173","doi":"10.1007/s00221-012-3220-7","title":"Solid shape discrimination from vision and haptics: natural objects (Capsicum annuum) and Gibson’s “feelies”","year":2012,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Percept; Haptic technology; Stimulus (psychology); Psychology; Haptic perception; Communication; Computer vision; Cognitive psychology; Psychophysics; Artificial intelligence; Perception; Computer science; Neuroscience","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":[0.0001870283,0.0001570718,0.0001407747,0.0001880704,0.0005600301,0.0002623217,0.0001457732,0.00007474739,0.0003451628],"category_scores_gemma":[0.0006775086,0.0001351565,0.00003436816,0.0001594659,0.0003440843,0.001125885,0.0002964585,0.0004532731,0.0001346393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035915,"about_ca_system_score_gemma":0.00001684557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000189998,"about_ca_topic_score_gemma":0.00002342358,"domain_scores_codex":[0.9979634,0.0003313298,0.0001687192,0.0004374203,0.0005663151,0.0005328424],"domain_scores_gemma":[0.9983661,0.001103351,0.00003840063,0.0002139423,0.00004545382,0.0002327754],"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":[0.00007747768,0.0001897724,0.0002215788,0.000006262365,0.000004456002,0.000009469538,0.008835672,1.404306e-7,0.9839584,0.0006947581,0.003927269,0.00207473],"study_design_scores_gemma":[0.0003929893,0.0002149774,0.005746474,0.00002804197,0.000002545872,0.00003634621,0.01082458,0.002399182,0.9760023,0.0001427152,0.00404379,0.000166049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935901,0.0006848876,0.000004426158,0.001621197,0.0005097668,0.0002823469,0.00002830633,0.0000481897,0.003230773],"genre_scores_gemma":[0.9973336,0.00006686094,0.000124432,0.0005372525,0.0002884372,0.00003610743,0.00001414846,0.00002359035,0.001575595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007956108,"threshold_uncertainty_score":0.5511521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09201596005854315,"score_gpt":0.4459226304684353,"score_spread":0.3539066704098921,"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."}}