{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04132373,0.0004594964,0.0007827168,0.002773364,0.003652769,0.004232172,0.001496548,0.002747689,0.007089034],"category_scores_gemma":[0.1354902,0.0005930112,0.0004377847,0.002298295,0.001825537,0.004802288,0.004943302,0.001560737,0.0009695981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129657,"about_ca_system_score_gemma":0.001798234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367895,"about_ca_topic_score_gemma":0.005425271,"domain_scores_codex":[0.9513549,0.04207922,0.0009677793,0.002769542,0.001772305,0.001056289],"domain_scores_gemma":[0.7329113,0.2367636,0.01229103,0.007858694,0.00495342,0.005221939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006052458,0.003172145,0.5037332,0.002684249,0.0006354464,0.001685379,0.1744719,0.002755086,0.004819455,0.02876148,0.01279935,0.2584299],"study_design_scores_gemma":[0.0008498038,0.002038835,0.5013571,0.002263666,0.0004997444,0.001344836,0.2247083,0.02793266,0.005139664,0.1618036,0.07168323,0.0003785322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629902,0.001927936,0.01653666,0.002551442,0.0002834461,0.000422758,0.0005006106,0.00008192823,0.01470493],"genre_scores_gemma":[0.9936327,0.0002682854,0.002936072,0.000242609,0.0001270546,0.0007282217,0.0001470666,0.00002917424,0.001888813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04132373,"threshold_uncertainty_score":0.2185434,"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."}}