{"id":"W2949286957","doi":"10.48550/arxiv.1309.5391","title":"Even the Abstract have Colour: Consensus in Word-Colour Associations","year":2013,"lang":"en","type":"preprint","venue":"NPARC","topic":"Categorization, perception, and language","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word (group theory); Natural language processing; Computer science; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006638179,0.0002815579,0.0003768964,0.0001702315,0.0001702314,0.0001171451,0.0004498344,0.0006707497,0.02475226],"category_scores_gemma":[0.0002008612,0.0002368171,0.0001693723,0.0001516867,0.0001271169,0.00002849077,0.0001525316,0.001061774,0.001557092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888922,"about_ca_system_score_gemma":0.0002185793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004428762,"about_ca_topic_score_gemma":0.005594314,"domain_scores_codex":[0.99791,0.0003186404,0.0005642032,0.000514033,0.0002699101,0.0004232448],"domain_scores_gemma":[0.9981203,0.0004485314,0.0003968014,0.0007737286,0.0001797538,0.00008090099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001239625,0.001309531,0.1378796,0.0001052557,0.0007698045,0.0001244868,0.1240769,0.0007956813,0.002356536,0.03083907,0.6811069,0.02051233],"study_design_scores_gemma":[0.0004931631,0.00001908452,0.9610614,0.0000310512,0.00006489624,0.00001098039,0.004262493,0.0001293791,0.000009952625,0.02216554,0.01141641,0.0003357138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.819089,0.0001417254,0.000029584,0.003922207,0.001742344,0.001064873,0.0002415287,0.0001105262,0.1736582],"genre_scores_gemma":[0.9726114,0.00004322149,0.0001480384,0.0004677172,0.0005431569,0.0004016874,0.0004150927,0.00004753461,0.02532216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8231817,"threshold_uncertainty_score":0.9992203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760325993627132,"score_gpt":0.330722658031921,"score_spread":0.2931193980956496,"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."}}