{"id":"W4391481976","doi":"10.1007/s11002-024-09718-6","title":"Participant multitasking in online studies","year":2024,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University; University of Alberta","funders":"Marketing Science Institute","keywords":"Human multitasking; Computer science; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001694287,0.0001287346,0.0001661326,0.0001766662,0.00008142371,0.0002519475,0.0002601529,0.00002569119,0.000002948738],"category_scores_gemma":[0.0004348584,0.000115165,0.00005573874,0.0004211582,0.00004634116,0.0001931215,0.0001911399,0.0002130058,0.00002008331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007154284,"about_ca_system_score_gemma":0.00001842655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002533007,"about_ca_topic_score_gemma":0.00002748236,"domain_scores_codex":[0.9985752,0.0002089772,0.0002598286,0.000405379,0.0001715027,0.0003791373],"domain_scores_gemma":[0.9988107,0.000815641,0.00002965978,0.0002864401,0.00001693342,0.00004063224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000515773,0.0002125007,0.02022396,0.001582675,0.0004142734,0.005404144,0.04979426,0.01728596,0.202352,0.002398121,0.03526801,0.6650125],"study_design_scores_gemma":[0.0006217084,0.00004266487,0.02912834,0.005512871,0.00004979337,0.0001355367,0.003513873,0.9353371,0.002166742,0.0002878841,0.02213938,0.001064153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729018,0.002340446,0.01327814,0.0100063,0.0008844271,0.00007468968,7.269221e-7,0.0004040007,0.0001094965],"genre_scores_gemma":[0.985301,0.0000260077,0.01299051,0.0014578,0.0001394543,0.000008384438,8.466644e-7,0.00001336105,0.00006260589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9180511,"threshold_uncertainty_score":0.4696292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685436509701475,"score_gpt":0.3099741473580347,"score_spread":0.25311978226102,"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."}}