{"id":"W4200324493","doi":"10.11645/15.3.3020","title":"Capturing the big picture","year":2021,"lang":"en","type":"article","venue":"Journal of Information Literacy","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Institution; Library instruction; Class (philosophy); Computer science; Order (exchange); Information literacy; Academic library; Academic institution; Mathematics education; Medical education; Pedagogy; Psychology; Sociology; World Wide Web; Library science; Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009487254,0.00006008995,0.00009490702,0.0001355737,0.0004571379,0.001014225,0.0003442755,0.0000442783,0.0004226714],"category_scores_gemma":[0.0006293234,0.00003693211,0.0001074108,0.0005494552,0.00007404821,0.0384984,0.00003376947,0.0002130051,0.00009047049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004210159,"about_ca_system_score_gemma":0.0006274658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144767,"about_ca_topic_score_gemma":0.000001059241,"domain_scores_codex":[0.9984713,0.0001048833,0.0006510336,0.00002776602,0.0005844194,0.0001605799],"domain_scores_gemma":[0.9982128,0.0001408009,0.0005721167,0.0001242199,0.0008471974,0.0001028686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002741181,0.00003194175,0.002543283,0.00003432247,0.00003348993,0.00001257338,0.5190666,0.0003946437,0.00002897175,0.154465,0.03364313,0.2897186],"study_design_scores_gemma":[0.0001683399,0.00001268424,0.003167211,0.00003564844,0.000004169437,0.00004914567,0.01570667,0.00009069815,0.0001822019,0.001489735,0.9790401,0.00005340108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.508876,0.001149719,0.01296404,0.1171731,0.009220978,0.0003652996,0.0000238241,0.00009332113,0.3501337],"genre_scores_gemma":[0.9665089,0.0002243273,0.002481311,0.02728034,0.001315686,0.000001513448,0.00001211512,0.000002997681,0.00217282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945397,"threshold_uncertainty_score":0.9780196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097039600117277,"score_gpt":0.2751331438877139,"score_spread":0.2641627478865411,"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."}}