{"id":"W6912207462","doi":"10.5281/zenodo.2556951","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; Interface (matter); Data discovery; Presentation (obstetrics); Knowledge extraction; Geospatial PDF; Data integration; Web Coverage Service","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":[0.007023328,0.001270894,0.0009336037,0.002771913,0.004619242,0.007481239,0.003297761,0.001678559,0.03019609],"category_scores_gemma":[0.006700784,0.0007302799,0.0007511016,0.003899623,0.001475919,0.004864196,0.006063031,0.002246665,0.007193001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02483649,"about_ca_system_score_gemma":0.05968052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8885261,"about_ca_topic_score_gemma":0.8887455,"domain_scores_codex":[0.9967726,0.000223125,0.00009287937,0.0003241125,0.001910972,0.0006762492],"domain_scores_gemma":[0.9920908,0.0005734871,0.00008884464,0.0005480731,0.004914756,0.001783982],"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":[0.0005560299,0.00008866422,0.001771721,0.0001232679,0.00006271455,0.0002854968,0.000600068,0.004795051,0.004420339,0.02828263,0.8890911,0.06992289],"study_design_scores_gemma":[0.0001635633,0.0000420734,0.001934285,0.0001056705,0.00004126672,0.00009885502,0.000728758,0.05052853,0.006916446,0.01085375,0.9284748,0.0001120706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05254247,0.006410316,0.413256,0.09568067,0.006758057,0.002083923,0.1188691,0.1390438,0.1653556],"genre_scores_gemma":[0.1955313,0.005568559,0.2693351,0.009350293,0.0008935307,0.0008203608,0.2090049,0.01150771,0.2979882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1114739,"threshold_uncertainty_score":0.2242606,"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."}}