{"id":"W1974012261","doi":"10.1016/j.intcom.2004.08.006","title":"Effective attention allocation behavior and its measurement: a preliminary study","year":2004,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Concordia University","funders":"","keywords":"Computer science; Human–computer interaction; Cognitive psychology; 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":[0.003825772,0.0003460835,0.0003505878,0.0009761787,0.0004313059,0.0007255622,0.0004833819,0.0006605469,0.001693057],"category_scores_gemma":[0.01571183,0.0002644725,0.0003272328,0.0006441894,0.0007056702,0.0009718247,0.0006963793,0.0006905039,0.0005100814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125986,"about_ca_system_score_gemma":0.0004048331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593644,"about_ca_topic_score_gemma":0.001371845,"domain_scores_codex":[0.9978877,0.0009185806,0.0002327933,0.0002693991,0.0005709368,0.0001205767],"domain_scores_gemma":[0.9854775,0.008945942,0.001289694,0.0009053866,0.002679303,0.0007021632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00407091,0.01100019,0.6361848,0.001008376,0.00023642,0.0005515739,0.01938567,0.002248566,0.1681316,0.001754787,0.001047891,0.1543793],"study_design_scores_gemma":[0.00008308816,0.01646722,0.9539625,0.00003291044,0.0001125355,0.0004785375,0.002317096,0.003741088,0.02046674,0.0003875526,0.001903665,0.00004708623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922651,0.00008055901,0.004603924,0.00003175773,0.000006678109,0.0003993378,0.000109808,0.00002604384,0.002476788],"genre_scores_gemma":[0.9949935,0.00007111012,0.003518792,0.00004232808,0.00001515829,0.0003993286,0.0001477684,0.00000969107,0.0008023157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003825772,"threshold_uncertainty_score":0.02023286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146820121857057,"score_gpt":0.3425559829547901,"score_spread":0.3110877817362195,"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."}}