{"id":"W4402741950","doi":"10.2139/ssrn.4965001","title":"<div> Information Science Workout: <span>Use Your Body to Learn Information Science!</span></div>","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Span (engineering); Attention span; Mathematics education; Psychology; Engineering; Civil engineering; Neuroscience","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01233541,0.0007147596,0.0005512264,0.003445252,0.002822945,0.007357039,0.004218034,0.0002569771,0.0001001871],"category_scores_gemma":[0.001652144,0.0006207926,0.0003541952,0.00807594,0.0008300624,0.04136084,0.001177011,0.002871062,0.002612276],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004172444,"about_ca_system_score_gemma":0.0139111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005271987,"about_ca_topic_score_gemma":0.0003211152,"domain_scores_codex":[0.9881632,0.0001892167,0.001963094,0.0007713307,0.00388678,0.005026337],"domain_scores_gemma":[0.9950075,0.0001999196,0.000749364,0.001444508,0.001718771,0.0008799384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001539624,0.0001285851,0.0004352554,0.0001345916,0.0001180669,0.000005761956,0.023535,0.01037297,0.005501234,0.5487916,0.002898078,0.4079249],"study_design_scores_gemma":[0.001966506,0.001514658,0.01355672,0.0004550287,0.000110152,0.002298774,0.00129343,0.1465936,0.002569792,0.05069333,0.7765121,0.002435877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2687728,0.0005278032,0.7041581,0.005194725,0.003389777,0.001241318,0.00002751454,0.000872417,0.01581555],"genre_scores_gemma":[0.9886321,0.0005905623,0.007547946,0.001751498,0.0004862392,0.00004735282,0.00003698627,0.00003078017,0.0008765512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.773614,"threshold_uncertainty_score":0.9996504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108493917178903,"score_gpt":0.2568830666777971,"score_spread":0.2457981275060081,"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."}}