{"id":"W1844769929","doi":"10.22230/cjc.2000v25n4a1179","title":"Metadata, Knowledge Management, and Communications","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Computer science; The Internet; Personalization; Standardization; World Wide Web; Relevance (law); Software; Data science; Knowledge management; Field (mathematics); Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005133015,0.00005880285,0.0001127772,0.0002506727,0.0002991623,0.0002964544,0.002644537,0.00002402588,0.00003757908],"category_scores_gemma":[0.00001725464,0.00005747874,0.00003901352,0.000343378,0.0001105254,0.001023238,0.0001129621,0.0001527719,0.00002695929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003589774,"about_ca_system_score_gemma":0.000153234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007408959,"about_ca_topic_score_gemma":0.006938614,"domain_scores_codex":[0.9993332,0.0001740214,0.0002436531,0.00007127033,0.00006373435,0.0001141206],"domain_scores_gemma":[0.997793,0.00007466373,0.0001106871,0.001698621,0.00009481215,0.0002282815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000156153,0.00003438001,0.001304178,0.000007382005,0.0001501089,0.00000862648,0.00177211,0.00002016328,0.000008651097,0.1999094,0.01096537,0.785818],"study_design_scores_gemma":[0.0002703673,0.00002723388,0.008475361,0.00008405071,0.0000773285,0.0001015046,0.0002435956,0.004962198,0.0000163857,0.003707423,0.9818999,0.0001346575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05831336,0.1499119,0.1362878,0.03822228,0.0003243593,0.0004138418,0.00007311786,0.0001157975,0.6163375],"genre_scores_gemma":[0.9230104,0.003331412,0.07165144,0.00015119,0.00001112578,0.00000160886,0.00001336278,0.000004231669,0.001825189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9709345,"threshold_uncertainty_score":0.4914252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638213806272401,"score_gpt":0.2601880229671061,"score_spread":0.2338058849043821,"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."}}