{"id":"W2121867457","doi":"10.1145/2470654.2466442","title":"Patina","year":2013,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Overlay; Visualization; Interface (matter); Software deployment; Software; Instrumentation (computer programming); Set (abstract data type); User interface; Window (computing); Data visualization; Software engineering; Operating system; Data mining; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004805371,0.00003921015,0.00003834922,0.0000197947,0.00005019026,0.0001667181,0.0002139375,0.00001470964,0.0001575918],"category_scores_gemma":[0.00001038184,0.00002995601,0.00001805266,0.0000927622,0.000009023013,0.0002267536,0.00007145212,0.00003252047,0.001236088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005010609,"about_ca_system_score_gemma":0.000007555189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149981,"about_ca_topic_score_gemma":0.000001393287,"domain_scores_codex":[0.9996164,0.00001092176,0.00006074404,0.0001198569,0.00007058182,0.0001214544],"domain_scores_gemma":[0.9996046,0.000021851,0.00001277736,0.0002829944,0.00003271598,0.00004508562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.465993e-7,0.0000299535,0.001621997,0.00000485934,0.000004963196,0.000005171257,0.0004753227,0.00004093013,0.008063558,0.1454695,0.06304088,0.7812428],"study_design_scores_gemma":[0.000690465,0.0001969493,0.07300592,0.00004702876,0.000004597325,0.0001389065,0.000297123,0.7198329,0.06818585,0.0605827,0.07596455,0.001053002],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374344,0.00001574595,0.7300717,0.001412071,0.0001614724,0.0000712668,2.109941e-8,0.0003740545,0.1304593],"genre_scores_gemma":[0.9463575,4.765022e-7,0.05028987,0.0005768664,0.00002250381,0.00000568326,8.596445e-8,0.000002108742,0.002744892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8089231,"threshold_uncertainty_score":0.9995416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004477127120725304,"score_gpt":0.1723824540714476,"score_spread":0.1679053269507223,"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."}}