{"id":"W4415542748","doi":"10.1145/3694907.3765951","title":"AnchoR: Toward Asynchronous Collaboration and Guided Exploration for Mobile AR Visualizations","year":2025,"lang":"","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Asynchronous communication; Mobile device; Visualization; Field (mathematics); Process (computing); Data visualization; Context (archaeology)","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":[0.001546429,0.001710942,0.0009891923,0.0009081227,0.00102201,0.002979605,0.002287062,0.001774992,0.01312797],"category_scores_gemma":[0.005241265,0.0006727002,0.0008443539,0.0007749983,0.000993105,0.003938395,0.009534518,0.002201245,0.004048714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516329,"about_ca_system_score_gemma":0.0008018478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288282,"about_ca_topic_score_gemma":0.001737175,"domain_scores_codex":[0.9984414,0.0004839179,0.00006830174,0.0003096186,0.0005290884,0.0001677414],"domain_scores_gemma":[0.9975654,0.0009304269,0.000116862,0.0007359216,0.0003609327,0.0002904691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005243626,0.001142173,0.002985468,0.001107019,0.0002375075,0.0008305504,0.008147867,0.02832762,0.2037106,0.06966245,0.02866603,0.6499391],"study_design_scores_gemma":[0.001279174,0.002618263,0.002310708,0.0003109078,0.0002421138,0.0007713421,0.002682956,0.685992,0.087246,0.08969528,0.126597,0.0002542378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02129162,0.000344373,0.9587751,0.00015778,0.0001778417,0.0001630194,0.0001941902,0.01334868,0.005547416],"genre_scores_gemma":[0.2878772,0.0005410334,0.6942252,0.0001814011,0.0001633878,0.0005230602,0.000803804,0.002041139,0.0136438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01312797,"threshold_uncertainty_score":0.04391736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767437514544295,"score_gpt":0.3603334751163451,"score_spread":0.3226590999709021,"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."}}