{"id":"W1965743746","doi":"10.1145/2600428.2609489","title":"Mouse movement during relevance judging","year":2014,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Relevance (law); Computer science; Movement (music); Reading (process); Information retrieval; Eye tracking; Gaze; Human–computer interaction; Eye movement; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002493307,0.000673076,0.0007918148,0.00145888,0.0003203758,0.0007978985,0.0006048408,0.0008034051,0.00353961],"category_scores_gemma":[0.03226926,0.0003485195,0.0002571574,0.0006199293,0.0003467177,0.0009480326,0.0006846432,0.0005425107,0.0009519418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620526,"about_ca_system_score_gemma":0.0002981298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208575,"about_ca_topic_score_gemma":0.001398291,"domain_scores_codex":[0.9970236,0.0014071,0.0002478563,0.000573916,0.000558485,0.000189],"domain_scores_gemma":[0.9736294,0.02063424,0.001492991,0.001531447,0.002169175,0.0005428477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007166289,0.0003502448,0.05853578,0.001787692,0.000186009,0.0007619092,0.00995177,0.001175849,0.6197751,0.001274415,0.005033157,0.2940018],"study_design_scores_gemma":[0.0006062603,0.005902206,0.72513,0.0006768593,0.000463587,0.002517297,0.002689793,0.03242029,0.1985304,0.003319406,0.02724968,0.0004941875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527413,0.001993252,0.0361785,0.0002371005,0.0001830906,0.0004662074,0.0009388849,0.002128233,0.005133405],"genre_scores_gemma":[0.9773415,0.0003848694,0.01971274,0.0001349942,0.00005798596,0.0002668028,0.0003958814,0.0001775195,0.00152771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00353961,"threshold_uncertainty_score":0.01318604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009653091813118192,"score_gpt":0.2261524511054317,"score_spread":0.2164993592923135,"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."}}