{"id":"W2293667525","doi":"","title":"Integration of metadata across different GI platforms","year":2007,"lang":"en","type":"article","venue":"Hispana","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Meta Data Services; Metadata repository; Geospatial metadata; World Wide Web; Data element; Software; Information retrieval; 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":[],"consensus_categories":[],"category_scores_codex":[0.005509222,0.0009090257,0.0008434413,0.01210395,0.00116128,0.006231191,0.002057339,0.001054664,0.002857035],"category_scores_gemma":[0.01609858,0.0006391719,0.001751426,0.01012609,0.001125106,0.00933777,0.007039003,0.001637291,0.001878871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711504,"about_ca_system_score_gemma":0.003412922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006999357,"about_ca_topic_score_gemma":0.004475878,"domain_scores_codex":[0.9927966,0.001111826,0.001110908,0.0007194994,0.003644295,0.0006169262],"domain_scores_gemma":[0.9894766,0.001440443,0.0005889927,0.003894298,0.004243879,0.0003558219],"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":[0.0005956236,0.0003176538,0.04257436,0.002770466,0.0006702304,0.00222328,0.008425497,0.008227076,0.03479974,0.07468245,0.02580155,0.798912],"study_design_scores_gemma":[0.0000835622,0.0004157513,0.05908944,0.00266562,0.001561001,0.002493274,0.009982719,0.03413539,0.08221799,0.06198666,0.7448036,0.0005649959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1764344,0.006831707,0.6822245,0.002771767,0.0007625522,0.00148035,0.008685011,0.02967315,0.09113663],"genre_scores_gemma":[0.3994111,0.004788789,0.5243226,0.000929593,0.000357241,0.0007138732,0.03671916,0.006918364,0.02583931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01210395,"threshold_uncertainty_score":0.02913594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04964996495914648,"score_gpt":0.3579218469229541,"score_spread":0.3082718819638076,"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."}}