{"id":"W2623939708","doi":"","title":"Toward Common Ground: Metadata Document","year":2017,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Information retrieval; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02873468,0.001339827,0.001489339,0.02523969,0.006537363,0.02400918,0.00438575,0.004133941,0.05491184],"category_scores_gemma":[0.06688761,0.001655271,0.0012558,0.03164057,0.004220603,0.03224282,0.01328734,0.006272366,0.08802109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007425409,"about_ca_system_score_gemma":0.03399931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0344368,"about_ca_topic_score_gemma":0.03076507,"domain_scores_codex":[0.9811427,0.004173241,0.004464307,0.001397097,0.007779602,0.001043159],"domain_scores_gemma":[0.9284725,0.01248118,0.005130669,0.02099114,0.02721391,0.005710551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008499988,0.0001419099,0.001183389,0.001347323,0.00002063625,0.0003283167,0.001933607,0.0003948892,0.002204396,0.06883638,0.785345,0.1381792],"study_design_scores_gemma":[0.000008419191,0.00001094223,0.0002785544,0.0004684161,0.000007080076,0.0001016501,0.0004340202,0.00007968672,0.0004981867,0.00420424,0.9938818,0.00002699184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.005529296,0.008876246,0.2855801,0.04894556,0.01512784,0.006264261,0.2172808,0.03557665,0.3768192],"genre_scores_gemma":[0.0184648,0.01415465,0.3116734,0.01233669,0.003758145,0.004146132,0.3906936,0.02085528,0.2239174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9759908,"threshold_uncertainty_score":0.1836984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964495418081958,"score_gpt":0.2341611582758844,"score_spread":0.1945162040950648,"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."}}