{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00297024,0.0003476319,0.0004316358,0.005348438,0.004381509,0.01735479,0.00106908,0.002361573,0.01001905],"category_scores_gemma":[0.006008198,0.0002362315,0.0002204785,0.01163417,0.01223795,0.01277242,0.003743165,0.001422945,0.001465771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006584776,"about_ca_system_score_gemma":0.01014582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0409039,"about_ca_topic_score_gemma":0.03331894,"domain_scores_codex":[0.9971582,0.000943188,0.0001903052,0.0002852162,0.001133112,0.0002900859],"domain_scores_gemma":[0.9961991,0.001836165,0.0004787234,0.000489742,0.0005756522,0.0004207134],"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":[0.00001068297,0.00001579168,0.0006862428,0.0001535619,0.000009294782,0.00009798526,0.00223338,0.0003511518,0.0000994559,0.8970145,0.01762101,0.08170685],"study_design_scores_gemma":[0.00000624137,0.00001437254,0.001048153,0.0004146876,0.00001163485,0.0001637627,0.003984657,0.0004992886,0.0001919568,0.5520846,0.4415554,0.00002518798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01551459,0.1007437,0.04168366,0.1002328,0.001851032,0.000184599,0.000573826,0.0003301566,0.7388856],"genre_scores_gemma":[0.6393161,0.1488416,0.04814749,0.008979324,0.004615953,0.0003060002,0.001036028,0.0001420102,0.1486153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9826452,"threshold_uncertainty_score":0.08133161,"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."}}