{"id":"W6904879036","doi":"10.14288/1.0397502","title":"Geodisy : New geospatial data discovery for Canadian research data","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Metadata; Search engine indexing; Data discovery; Open data; Geospatial PDF; Presentation (obstetrics); Geospatial metadata; Linked data","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.006494056,0.001695538,0.00116706,0.01533455,0.005224592,0.0121359,0.004557074,0.001742556,0.06343973],"category_scores_gemma":[0.02915082,0.001681955,0.001860696,0.02133212,0.002249135,0.00956372,0.01344318,0.002821469,0.0208138],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403517,"about_ca_system_score_gemma":0.04697572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7245605,"about_ca_topic_score_gemma":0.8560829,"domain_scores_codex":[0.9939068,0.000439953,0.0003393576,0.0004818385,0.004267754,0.0005643638],"domain_scores_gemma":[0.9847563,0.002787714,0.0006135618,0.003146155,0.005785305,0.002910906],"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":[0.000152207,0.00003555913,0.002244845,0.000587441,0.00008350362,0.0003048138,0.00186719,0.001250023,0.00186289,0.03211191,0.8472081,0.1122916],"study_design_scores_gemma":[0.00004477351,0.00000942932,0.001474044,0.0002113105,0.00002603802,0.0001139361,0.0006620447,0.003873034,0.001298229,0.009861259,0.9823086,0.0001172558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.007112918,0.002598145,0.2363975,0.01448783,0.002220413,0.001838313,0.413812,0.1858579,0.1356751],"genre_scores_gemma":[0.03716311,0.003487053,0.4027013,0.001809177,0.0003596682,0.001322649,0.4226906,0.02505373,0.1054128],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9954429,"threshold_uncertainty_score":0.5541232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113427081202303,"score_gpt":0.3045541274330523,"score_spread":0.1911270462307493,"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."}}