{"id":"W6886076811","doi":"10.14288/1.0398428","title":"Geodisy : Federated Geospatial Data Discovery for Canada","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":false,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Identification (biology); Interoperability; Data discovery; Knowledge extraction; Key (lock)","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":[0.002150702,0.002001838,0.001485302,0.006219954,0.005570567,0.005753912,0.003466479,0.001187594,0.01947149],"category_scores_gemma":[0.008880122,0.001238947,0.001277001,0.007811467,0.001727261,0.004382029,0.00601555,0.001948771,0.006965464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02205029,"about_ca_system_score_gemma":0.07394792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.966391,"about_ca_topic_score_gemma":0.9589432,"domain_scores_codex":[0.997398,0.0001446449,0.0001014069,0.0004160138,0.001463785,0.0004761038],"domain_scores_gemma":[0.9942205,0.0006460325,0.0001650943,0.001039823,0.002940281,0.0009882691],"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":[0.0007395195,0.0001600872,0.007997474,0.0003537642,0.0002609791,0.000384105,0.0008335451,0.01224993,0.004983331,0.03146942,0.7968393,0.1437285],"study_design_scores_gemma":[0.0004631868,0.00007664475,0.01121986,0.00021198,0.0001799117,0.0002400022,0.001797028,0.3478258,0.01460562,0.03819805,0.5847265,0.0004554538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.03477892,0.002005243,0.1854417,0.00698872,0.0007802058,0.001508641,0.3469859,0.3662784,0.05523222],"genre_scores_gemma":[0.2009949,0.002649556,0.3175087,0.00152718,0.0001363431,0.0008424838,0.3930581,0.02031958,0.06296314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03360903,"threshold_uncertainty_score":0.1599868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842001027156829,"score_gpt":0.2093015403834486,"score_spread":0.1908815301118803,"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."}}