{"id":"W2187151814","doi":"10.17895/ices.pub.25244332","title":"Pacific-wide marine metadata discovery, management and delivery: The PICES Metadata Federation","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; World Wide Web; Metadata management; Meta Data Services; Computer science; Geospatial metadata; Data management plan; Data science; Business; Data element; Database; Data management","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":[0.04702623,0.000776505,0.0007888325,0.007554098,0.005615026,0.01130838,0.004959936,0.00204561,0.007252862],"category_scores_gemma":[0.03113314,0.001116563,0.0008920489,0.009629236,0.002427274,0.01901439,0.01826692,0.002729766,0.007203149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004996359,"about_ca_system_score_gemma":0.04459841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0664727,"about_ca_topic_score_gemma":0.03027707,"domain_scores_codex":[0.9870225,0.002398204,0.001941723,0.001509509,0.005682961,0.001445096],"domain_scores_gemma":[0.9399717,0.003284246,0.003294785,0.02770914,0.01771411,0.008026094],"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":[0.0004660407,0.0005772489,0.0219948,0.0004584204,0.00009938858,0.0006912169,0.003614835,0.003985628,0.005185059,0.1034847,0.3437692,0.5156734],"study_design_scores_gemma":[0.0000481818,0.0000934587,0.006330246,0.0002872286,0.00003683489,0.0002631358,0.001476505,0.01447015,0.004080343,0.01091546,0.9619122,0.00008626191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05228438,0.002182986,0.5594603,0.03120936,0.002108794,0.006048117,0.01612291,0.05090753,0.2796755],"genre_scores_gemma":[0.1822189,0.003342366,0.6097046,0.003317714,0.00108164,0.00383791,0.07949111,0.006176827,0.110829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9886916,"threshold_uncertainty_score":0.2487015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339344486799107,"score_gpt":0.2987508181027276,"score_spread":0.2453573732347366,"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."}}