{"id":"W2161468427","doi":"10.3138/v743-k505-5510-66q5","title":"The Impact of Bivariate Symbol Design on Task Performance in a Map Setting","year":2000,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Categorization, perception, and language","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bivariate analysis; Symbol (formal); Context (archaeology); Set (abstract data type); Task (project management); Computer science; Psychology; Cognitive psychology; Artificial intelligence; Machine learning; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006105046,0.001002425,0.0006922352,0.0007152744,0.0004200397,0.002305653,0.0008808325,0.0008261211,0.00303653],"category_scores_gemma":[0.1080245,0.000510051,0.0004039503,0.0006979479,0.0007068979,0.001831681,0.001705202,0.0007526532,0.000597975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081877,"about_ca_system_score_gemma":0.0005434352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008566643,"about_ca_topic_score_gemma":0.0007214673,"domain_scores_codex":[0.9936632,0.003756891,0.0006194293,0.0007837627,0.0008627567,0.0003141148],"domain_scores_gemma":[0.8621939,0.1218831,0.00600556,0.005366723,0.002475562,0.002075158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03299103,0.004829207,0.09914811,0.002792852,0.0006176728,0.001214705,0.01573727,0.0377385,0.3973698,0.002661862,0.001773184,0.4031257],"study_design_scores_gemma":[0.002707091,0.05907956,0.4963252,0.0006747719,0.001899526,0.003368118,0.008354561,0.1612658,0.236649,0.01201721,0.01645203,0.001207198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859713,0.0001099926,0.01181499,0.00005146943,0.00003380241,0.0000877293,0.00004521938,0.0002582145,0.001627298],"genre_scores_gemma":[0.9835131,0.0001079047,0.01526326,0.00003676949,0.00001776358,0.0001905486,0.00008474902,0.0001261847,0.0006597721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006105046,"threshold_uncertainty_score":0.032287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113901430979598,"score_gpt":0.3219092374159246,"score_spread":0.3105190943179648,"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."}}