{"id":"W2584295907","doi":"10.1007/s10791-017-9294-x","title":"Constructing click models for search users","year":2017,"lang":"en","type":"article","venue":"Information Retrieval","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; World Wide Web; Information retrieval","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006205535,0.00009512767,0.0001149274,0.0001126883,0.0006293505,0.00117237,0.001095952,0.00008586996,0.000006866044],"category_scores_gemma":[0.0003170047,0.00008933809,0.00007500972,0.0001172988,0.0001035341,0.006956673,0.000193882,0.0001156049,0.00005324483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007630504,"about_ca_system_score_gemma":0.000117926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216876,"about_ca_topic_score_gemma":4.367829e-7,"domain_scores_codex":[0.9989709,0.00001618834,0.0003280046,0.0001314543,0.0003255624,0.0002278555],"domain_scores_gemma":[0.9984071,0.00007325532,0.0002878394,0.0007009074,0.0004553317,0.0000756256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004301227,0.000009681312,0.000236124,0.00004906723,0.00001220241,4.001907e-7,0.0006245333,0.00002188119,0.0002137804,0.6774265,0.0006016318,0.3207612],"study_design_scores_gemma":[0.0008813962,0.0001298972,0.0006798824,0.0000307584,0.000006494103,0.00002117404,0.0003421254,0.8454003,0.1157181,0.01943032,0.0170392,0.0003203222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002189076,0.000006000443,0.9805351,0.001524999,0.0002572984,0.0003600296,0.00001673726,0.0002699179,0.01484085],"genre_scores_gemma":[0.8895741,0.00001354942,0.1096337,0.0003460507,0.00006788102,0.0000160475,0.00002178638,0.000006122719,0.0003206956],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8873851,"threshold_uncertainty_score":0.9998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359408056046548,"score_gpt":0.3126871301685992,"score_spread":0.2590930496081337,"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."}}