{"id":"W4394282834","doi":"10.6084/m9.figshare.24995255","title":"Urban Calgary GNSS Data","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Geography; Computer science; Global Positioning System; Telecommunications","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":[0.0008691939,0.00211916,0.001303834,0.003728518,0.0009586703,0.001741742,0.003041654,0.00211752,0.02695216],"category_scores_gemma":[0.00391368,0.000693207,0.0009112105,0.01037829,0.0005334596,0.0007427453,0.00176806,0.001742683,0.04235759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571856,"about_ca_system_score_gemma":0.003832205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3261156,"about_ca_topic_score_gemma":0.4510612,"domain_scores_codex":[0.9991085,0.0001088597,0.00006619858,0.000205686,0.0003008096,0.0002098416],"domain_scores_gemma":[0.9978721,0.0002506548,0.0001312688,0.0005010256,0.001067036,0.0001778638],"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":[0.00006385482,0.00002458803,0.001389183,0.0002632842,0.00003503403,0.00003434268,0.00003113136,0.001370802,0.000153572,0.0003155644,0.9919661,0.004352554],"study_design_scores_gemma":[0.0003112457,0.00001842239,0.01499062,0.0003175644,0.00003646952,0.00004172193,0.0002176259,0.002434669,0.0006656669,0.0009408636,0.9799688,0.00005621994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000451313,0.00008440873,0.0000880476,0.0000543478,0.00003641508,0.00001372337,0.998108,0.0003452714,0.0008185179],"genre_scores_gemma":[0.0008307764,0.00004616461,0.0003163856,0.00002652214,0.000006393841,0.0000359154,0.9981034,0.00005021363,0.0005842018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6738844,"threshold_uncertainty_score":0.6484348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199233198636192,"score_gpt":0.3595522429553478,"score_spread":0.2396289230917286,"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."}}