{"id":"W2164930262","doi":"10.22230/cjc.2009v34n1a2196","title":"Looking at Shirley, the Ultimate Norm: Colour Balance, Image Technologies, and Cognitive Equity","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Color perception and design","field":"Psychology","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Redress; Metaphor; Rendering (computer graphics); Unconscious mind; Equity (law); Cognition; Norm (philosophy); Aesthetics; Sociology; Computer science; Psychology; Art; Political science; Artificial intelligence; Literature; Linguistics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832137,0.0002308402,0.0001492822,0.0006612792,0.002154015,0.004575113,0.0005403988,0.00132659,0.002173854],"category_scores_gemma":[0.003819081,0.0001124666,0.0001287633,0.0004842897,0.03356531,0.007953706,0.002262288,0.00244494,0.0002013076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002176872,"about_ca_system_score_gemma":0.0009310099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054677,"about_ca_topic_score_gemma":0.004385881,"domain_scores_codex":[0.9988874,0.000608124,0.0000237166,0.0001395839,0.0002479497,0.00009338521],"domain_scores_gemma":[0.9989327,0.0006524934,0.0001109986,0.00009458559,0.000142741,0.00006649459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001376961,0.000009644406,0.0004749801,0.00001783979,0.000001856489,0.00005183049,0.03142057,0.0000705356,0.0003881417,0.9522666,0.001513319,0.01377082],"study_design_scores_gemma":[0.000008814036,0.00004061888,0.001866921,0.00008508582,0.000005641419,0.0002120637,0.02855742,0.0004382899,0.0009218807,0.8785527,0.08929083,0.00001973992],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.247596,0.01473534,0.0638864,0.07475665,0.001251154,0.00002548903,0.00002493056,0.00008373934,0.5976403],"genre_scores_gemma":[0.9863009,0.001342473,0.003517592,0.001444998,0.0001029622,0.000009653601,0.000004368824,0.00002162169,0.007255252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004575113,"threshold_uncertainty_score":0.01579434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705712407204526,"score_gpt":0.3403799458037502,"score_spread":0.3033228217317049,"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."}}