{"id":"W2941698180","doi":"10.1145/3290605.3300686","title":"Color Builder","year":2019,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tweaking; Computer science; Workflow; Interface (matter); Visualization; Context (archaeology); Computer graphics (images); Human–computer interaction; Software; User interface; Computer vision; Multimedia; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008394371,0.001724233,0.0006681341,0.001543815,0.0007822921,0.001841567,0.002211228,0.001160624,0.2163872],"category_scores_gemma":[0.003781473,0.0008397819,0.001004134,0.0006211631,0.0004325206,0.002324303,0.003383053,0.00151038,0.06490875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004339538,"about_ca_system_score_gemma":0.0006608328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009610142,"about_ca_topic_score_gemma":0.001930188,"domain_scores_codex":[0.9995137,0.00005544434,0.00003035377,0.00009344555,0.0002424522,0.00006445238],"domain_scores_gemma":[0.9985605,0.0004001249,0.00005886227,0.0003571257,0.0004162458,0.00020716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008282947,0.0002677578,0.001606107,0.001187981,0.00006572273,0.0006652492,0.001048329,0.002030955,0.06127733,0.02513787,0.4411913,0.4646931],"study_design_scores_gemma":[0.000115438,0.0001310221,0.001427396,0.0001449537,0.00004543172,0.0008364385,0.0001903835,0.01432042,0.03508932,0.008622766,0.9389572,0.0001192389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009588248,0.0007830309,0.5920247,0.0006859467,0.00103869,0.001034475,0.006283418,0.240699,0.1478624],"genre_scores_gemma":[0.08149991,0.001045002,0.5548748,0.001668925,0.000235396,0.002036729,0.009467035,0.06730682,0.2818654],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2163872,"threshold_uncertainty_score":0.7238874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051918074623578,"score_gpt":0.3270017728255279,"score_spread":0.3064825920792922,"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."}}