{"id":"W6931457732","doi":"10.5281/zenodo.2555352","title":"Federated Geospatial Data Discovery for Canada - Geodisy","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geospatial analysis; Summit; Interface (matter); Data discovery; Data integration; Web Coverage Service; Presentation (obstetrics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006889158,0.001226548,0.0008483685,0.002850177,0.004761184,0.008370077,0.003128113,0.001830788,0.02908978],"category_scores_gemma":[0.00763884,0.0006748459,0.0007139794,0.004165048,0.001654531,0.005190348,0.006368967,0.002321237,0.008480085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02999013,"about_ca_system_score_gemma":0.07185394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9048002,"about_ca_topic_score_gemma":0.9279559,"domain_scores_codex":[0.9965681,0.0001928354,0.00008882732,0.0002967285,0.00219184,0.0006616244],"domain_scores_gemma":[0.9915841,0.0005327275,0.00009234692,0.000497671,0.005565221,0.001727976],"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":[0.0002132992,0.00003789528,0.0009073461,0.00007759636,0.00003294202,0.0001357641,0.0002744667,0.002531849,0.001747177,0.02267724,0.926651,0.04471331],"study_design_scores_gemma":[0.00008690231,0.00002093316,0.001084551,0.00009129503,0.00002483694,0.00005372699,0.0004065577,0.02158018,0.002835126,0.008176778,0.9655645,0.00007461865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03383392,0.009406975,0.3280817,0.1576494,0.01295205,0.001943674,0.1230949,0.1090624,0.2239751],"genre_scores_gemma":[0.1669244,0.009143065,0.2294065,0.01746183,0.001736204,0.0008085807,0.2074069,0.01122198,0.3558906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09519982,"threshold_uncertainty_score":0.2175946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044671601539951,"score_gpt":0.2676493568342576,"score_spread":0.2229777552943066,"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."}}