{"id":"W2505647283","doi":"10.15760/comminfolit.2016.10.1.18","title":"Empowering Students to Make Sense of an Information Saturated World: The Evolution of Information Searching and Analysis","year":2016,"lang":"en","type":"article","venue":"Communications in Information Literacy","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Information literacy; Variety (cybernetics); Politics; Psychology; Public relations; Higher education; Trustworthiness; Sociology; Mathematics education; Pedagogy; Social psychology; Political science; Computer science","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":[0.001974329,0.00007430793,0.0001403122,0.001401481,0.0003367456,0.0002132335,0.0005442636,0.00004762364,0.00001564604],"category_scores_gemma":[0.0007899898,0.00005435748,0.00003948266,0.002462418,0.000144063,0.01046014,0.0002473041,0.0001459083,0.00001466355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829052,"about_ca_system_score_gemma":0.0001536805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009721409,"about_ca_topic_score_gemma":0.001031256,"domain_scores_codex":[0.9982197,0.0003704701,0.0008078032,0.00004190569,0.0004154018,0.0001447213],"domain_scores_gemma":[0.9979275,0.000371433,0.0004822618,0.0006023776,0.0005590015,0.00005736931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005825812,0.00004743843,0.05805475,0.00003885323,0.00006233892,2.738433e-8,0.1780516,0.001309305,0.00005221232,0.03477812,0.00002358367,0.7275235],"study_design_scores_gemma":[0.001244424,0.00009283666,0.5912679,0.0004053716,0.0001087513,0.000001530967,0.0740765,0.02131054,0.0001097869,0.00108069,0.309976,0.0003255747],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755407,0.00003651012,0.01628632,0.002124224,0.00005256302,0.0004810716,0.00005316596,0.00004162021,0.005383816],"genre_scores_gemma":[0.9908485,0.00009792648,0.008756867,0.0001004124,0.000008394381,0.00002074282,0.0001366869,0.000001733636,0.00002870624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7271979,"threshold_uncertainty_score":0.7583346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562761309434638,"score_gpt":0.3959224055773447,"score_spread":0.3802947924829984,"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."}}