{"id":"W2078406978","doi":"10.1068/p5830","title":"The Colour of Os: Naturally Biased Associations between Shape and Colour","year":2008,"lang":"en","type":"article","venue":"Perception","topic":"Multisensory perception and integration","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Optometry; Psychology; Optics; Artificial intelligence; Computer vision; Computer science; Medicine; Physics","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":[0.0002772179,0.0001025056,0.0001577615,0.00006926114,0.0004095901,0.00002038939,0.00009245783,0.0001644147,0.002492259],"category_scores_gemma":[0.0001304828,0.0000775642,0.00006787528,0.0001261484,0.0001604312,0.00009762571,0.00001469928,0.0001851723,0.0003412176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007077832,"about_ca_system_score_gemma":0.00002225736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878289,"about_ca_topic_score_gemma":0.0001507842,"domain_scores_codex":[0.9989451,0.0002172959,0.0003091122,0.0001866948,0.0001787848,0.0001629735],"domain_scores_gemma":[0.9992442,0.0002131971,0.0001603356,0.0001651736,0.0001646135,0.00005251398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002658772,0.0003508967,0.5861144,0.00001682433,0.0002388733,0.000005013696,0.04623346,0.000009772244,0.1338808,0.00310643,0.1180501,0.1117275],"study_design_scores_gemma":[0.0004595285,0.0001105092,0.992537,0.000005664433,0.00002226152,0.000007862071,0.001811101,0.0004295908,0.00003123625,0.00005345445,0.004444023,0.00008777443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993532,0.00004297549,0.00008210167,0.001076191,0.0002671496,0.0002513943,0.00006024457,0.00005486548,0.004633055],"genre_scores_gemma":[0.9940064,0.0001497546,0.0001783081,0.0002011866,0.0001679734,0.00002308184,0.0001053969,0.00001171099,0.005156174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4064226,"threshold_uncertainty_score":0.9984196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09129839032083635,"score_gpt":0.3586967234218241,"score_spread":0.2673983331009878,"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."}}