{"id":"W2989328844","doi":"10.1145/3357384.3358041","title":"Patterns of Search Result Examination","year":2019,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Google","keywords":"Computer science","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":[0.002122234,0.0002747374,0.0004349503,0.00225324,0.0003294896,0.001329561,0.000476164,0.0004958988,0.001417436],"category_scores_gemma":[0.03309713,0.0002728486,0.0002835236,0.001415371,0.0003380381,0.000999924,0.000585701,0.0005542199,0.0004080202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951634,"about_ca_system_score_gemma":0.0004436617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004840331,"about_ca_topic_score_gemma":0.007200974,"domain_scores_codex":[0.997329,0.0008302007,0.000363578,0.000384806,0.0009013626,0.0001911552],"domain_scores_gemma":[0.9611202,0.02539648,0.006398204,0.002286462,0.00397383,0.0008248782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001329297,0.0004159733,0.8789066,0.0005220931,0.0002309096,0.0004705185,0.008883314,0.0007928095,0.03452612,0.0007876772,0.001029863,0.07210487],"study_design_scores_gemma":[0.00002510618,0.0004410019,0.9874877,0.00003148825,0.00005903365,0.0006155729,0.001843574,0.003918094,0.003516966,0.0004423447,0.001558714,0.00006049719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939834,0.0003377308,0.002458708,0.00009396451,0.000006195137,0.0001106308,0.0003525832,0.0001338051,0.002522915],"genre_scores_gemma":[0.9964176,0.0001224895,0.002015513,0.00002718109,0.000005363571,0.00004582023,0.0003100827,0.0000216407,0.001034287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004840331,"threshold_uncertainty_score":0.01122361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456526269249553,"score_gpt":0.2727499588320355,"score_spread":0.24818469613954,"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."}}