{"id":"W1997017488","doi":"10.1002/meet.1450400170","title":"Sharing and accessing Internet resources across barriers of nation, language, and collection. Sponsored by SIG III, MGT","year":2003,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Metadata; Computer science; World Wide Web; Session (web analytics); The Internet; Presentation (obstetrics); Search engine; Digital library; Information retrieval; Resource (disambiguation); Shared resource; Computer security","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":[0.001114302,0.00006946527,0.0001305346,0.0001646764,0.0004395307,0.0002429672,0.0004886013,0.00003981865,5.260461e-7],"category_scores_gemma":[0.0006199269,0.00005252734,0.00002937892,0.002156316,0.001786905,0.002602618,0.0003253046,0.00008493586,7.599172e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003458805,"about_ca_system_score_gemma":0.00006709579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000294637,"about_ca_topic_score_gemma":4.52189e-7,"domain_scores_codex":[0.9991335,0.0000017958,0.0002582844,0.000126599,0.0002862056,0.0001936508],"domain_scores_gemma":[0.9987219,0.00002939839,0.000433222,0.00007490032,0.000690295,0.00005031318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001144905,0.00004999041,0.1450086,0.0005288189,0.00008941774,5.075473e-8,0.2643247,0.000004394442,0.2117798,0.1946023,0.004174163,0.1793233],"study_design_scores_gemma":[0.002295343,0.0007220639,0.01243007,0.0001281329,0.00003483282,0.0001047934,0.2817477,0.07894362,0.6002037,0.00388251,0.01891663,0.0005906167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958256,0.00003774436,0.003042667,0.0006298997,0.00002230717,0.000194453,0.00000546813,0.00003779057,0.0002040138],"genre_scores_gemma":[0.994567,0.00004057098,0.005137081,0.0001865295,0.000001666468,0.00001517751,3.189184e-7,0.000001561791,0.00005010244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884239,"threshold_uncertainty_score":0.6583925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009929642568277056,"score_gpt":0.2758403577787163,"score_spread":0.2659107152104393,"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."}}