{"id":"W4313009587","doi":"10.47989/irisic2202","title":"What's interrupting your search?","year":2022,"lang":"en","type":"article","venue":"Information Research an international electronic journal","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Coding (social sciences); Mobile Web; Mobile device; Mobile computing; Mobile technology; World Wide Web; Context (archaeology); Human–computer interaction; Information retrieval; Geography; Telecommunications","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":[0.002957407,0.0002261263,0.000399306,0.0007552846,0.001271328,0.002319737,0.000513578,0.001280339,0.002129467],"category_scores_gemma":[0.03712023,0.0001891183,0.0004010226,0.0007994738,0.0008991478,0.00252275,0.0008192803,0.001332668,0.000630768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707573,"about_ca_system_score_gemma":0.0008188316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034156,"about_ca_topic_score_gemma":0.006257941,"domain_scores_codex":[0.997849,0.001041989,0.0002150032,0.000157728,0.0004808531,0.0002555708],"domain_scores_gemma":[0.9829239,0.009847421,0.003461517,0.0006445007,0.001446807,0.001675783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001319947,0.0006295609,0.4540094,0.002407863,0.0003399784,0.002619361,0.1283544,0.0005877136,0.005136264,0.005739455,0.03269056,0.3661654],"study_design_scores_gemma":[0.00009714153,0.001282922,0.5597587,0.002272877,0.0004443703,0.006396815,0.252322,0.002775894,0.001993657,0.01058128,0.1617926,0.0002817061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942119,0.008810726,0.006928831,0.01853401,0.0006690585,0.0001722302,0.0007095126,0.0002340402,0.02182256],"genre_scores_gemma":[0.9894201,0.003307196,0.002939797,0.001960385,0.0001870569,0.0000535417,0.0002989619,0.0000287219,0.001804202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004034156,"threshold_uncertainty_score":0.01564044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4500651623289671,"score_gpt":0.5595071926855111,"score_spread":0.109442030356544,"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."}}