{"id":"W4403433531","doi":"10.1002/pra2.1176","title":"Enabling Serendipity During Digital Library Search","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Serendipity; Digital library; Computer science; World Wide Web; Art; Literature; Philosophy; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.006287617,0.0006469828,0.000815303,0.002717066,0.001048829,0.003155038,0.001635063,0.001086236,0.006137467],"category_scores_gemma":[0.03795025,0.0006078882,0.0004584844,0.001434134,0.0009244265,0.007701147,0.006220738,0.0009510575,0.002202315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006016705,"about_ca_system_score_gemma":0.0008636823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009534936,"about_ca_topic_score_gemma":0.001479517,"domain_scores_codex":[0.9962364,0.001943032,0.000311278,0.0003747928,0.0007864607,0.0003481297],"domain_scores_gemma":[0.9515043,0.03604552,0.002959661,0.005540899,0.002073216,0.001876277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005693179,0.001918933,0.0576935,0.002583142,0.000182587,0.003951022,0.05450941,0.01129788,0.07405504,0.04216042,0.02572986,0.720225],"study_design_scores_gemma":[0.00102075,0.004763008,0.07146113,0.002202708,0.0007896067,0.007875016,0.02803035,0.2610001,0.193875,0.07237385,0.355581,0.001027448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729438,0.001922681,0.2061107,0.001070695,0.0001168048,0.0006324012,0.0005309656,0.02276028,0.03741744],"genre_scores_gemma":[0.9093176,0.0003776294,0.08318927,0.0001250003,0.0000601303,0.0002135713,0.0004956875,0.0006629282,0.005558021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006287617,"threshold_uncertainty_score":0.03325254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008342978815301267,"score_gpt":0.2333210048080651,"score_spread":0.2249780259927638,"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."}}