{"id":"W2022462411","doi":"10.1145/1071246.1071301","title":"Demo","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Object (grammar); Process (computing); Location-based service; Track (disk drive); Computer vision; Wireless; Truck; Video tracking; Tracking (education); Artificial intelligence; Human–computer interaction; Telecommunications; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004846134,0.0007902349,0.0003087205,0.002544396,0.001299379,0.002285712,0.0009267083,0.0007170765,0.2017624],"category_scores_gemma":[0.002339276,0.0002324892,0.0005273268,0.003456862,0.0003370217,0.0019104,0.00142031,0.0009378006,0.07770209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140492,"about_ca_system_score_gemma":0.0008561539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003842,"about_ca_topic_score_gemma":0.03211372,"domain_scores_codex":[0.9996674,0.00005990843,0.00002534695,0.00006950242,0.0001250608,0.00005283261],"domain_scores_gemma":[0.9993161,0.0001087388,0.00003956808,0.0001746772,0.0002737466,0.00008716404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001788857,0.00003054499,0.002373005,0.0002993297,0.00002719818,0.0004855844,0.000565229,0.00179025,0.0004624883,0.02195972,0.85124,0.1205879],"study_design_scores_gemma":[0.00001253122,0.0000113573,0.001377243,0.00008695116,0.00001156107,0.0002838033,0.0003326941,0.000919987,0.000330147,0.004733717,0.9918845,0.00001542187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.011159,0.00229946,0.02787624,0.005125638,0.003682835,0.0004087218,0.2492272,0.008798246,0.6914226],"genre_scores_gemma":[0.1183741,0.00533163,0.06608448,0.00196383,0.0007816742,0.0006605523,0.416885,0.002793538,0.3871253],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7982376,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00933770523917123,"score_gpt":0.2179534259434835,"score_spread":0.2086157207043122,"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."}}