{"id":"W6949741472","doi":"10.5281/zenodo.2556952","title":"Federated Geospatial Data Discovery for Canada - Geodisy","year":2019,"lang":"en","type":"article","venue":"Figshare","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":[0.008687509,0.001251909,0.0009241016,0.003062325,0.00530362,0.008917657,0.003490655,0.001914887,0.04486173],"category_scores_gemma":[0.01012114,0.000822558,0.0008404304,0.004423283,0.001581167,0.006181502,0.007898823,0.002626466,0.01074094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02207657,"about_ca_system_score_gemma":0.05795418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8620845,"about_ca_topic_score_gemma":0.8833764,"domain_scores_codex":[0.9960859,0.0003069093,0.0001165618,0.0003713299,0.002390758,0.0007285306],"domain_scores_gemma":[0.9888516,0.001008274,0.0001223572,0.0008615063,0.006796225,0.002360058],"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":[0.0003484152,0.00005658997,0.001222431,0.00009254598,0.00004027283,0.0001748627,0.0004972085,0.002327026,0.002399789,0.01666688,0.9285568,0.04761727],"study_design_scores_gemma":[0.0001318708,0.0000325546,0.001642263,0.0001043106,0.00003030735,0.0000746064,0.0006818091,0.03061527,0.004257822,0.009364391,0.9529629,0.0001019028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03437878,0.004431308,0.3444196,0.1066427,0.007067397,0.002120238,0.1432363,0.1728957,0.184808],"genre_scores_gemma":[0.1536588,0.00452699,0.2726886,0.01209659,0.001031862,0.0009043568,0.2316776,0.01671998,0.3066952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1379155,"threshold_uncertainty_score":0.2774554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083133172259895,"score_gpt":0.2989026124582812,"score_spread":0.2380712807356823,"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."}}