{"id":"W2129282682","doi":"10.1002/meet.1450420175","title":"Information grounds and everyday life","year":2005,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Library Science and Administration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Everyday life; Information literacy; Ethnography; Sociology; Information sharing; Psychology; Interview; Information flow; Public relations; Social psychology; Political science; Computer science; Geography; Pedagogy; World Wide Web","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001214064,0.00006104926,0.00009923793,0.0001686539,0.0009810737,0.0002701345,0.0004141049,0.00004789836,0.000001563821],"category_scores_gemma":[0.0007841016,0.00004602408,0.0000398506,0.002244988,0.004466875,0.01431303,0.0001170855,0.00007019841,0.000002078632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004887974,"about_ca_system_score_gemma":0.0003867863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004407738,"about_ca_topic_score_gemma":0.000003265785,"domain_scores_codex":[0.9990243,0.000001480279,0.0002298851,0.00007445742,0.0004295372,0.0002403207],"domain_scores_gemma":[0.9988061,0.00002761643,0.0004170004,0.00005402595,0.0006191441,0.0000760857],"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":[0.00001389665,0.00001408085,0.01833599,0.00004304976,0.00001039161,1.256466e-9,0.03453864,0.000001379,0.002171151,0.6862875,0.007674348,0.2509096],"study_design_scores_gemma":[0.0003618035,0.0002147102,0.01260819,0.00001934964,0.00001679876,0.000004206428,0.2048103,0.001515526,0.005344022,0.00754989,0.7673397,0.0002154635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573371,0.00001379757,0.000102909,0.0357575,0.00004845071,0.0003027399,0.000005534409,0.00007113526,0.006360782],"genre_scores_gemma":[0.9936668,0.0001452959,0.003450117,0.002642781,0.00003090595,0.00002011187,6.911652e-7,0.000001132131,0.00004211234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596654,"threshold_uncertainty_score":0.9994733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151932711683761,"score_gpt":0.2712088931085187,"score_spread":0.2596895659916811,"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."}}