{"id":"W7135804839","doi":"","title":"Prague metro as a place for geological excursions","year":2018,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Placemaking; Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003013925,0.001120635,0.00108433,0.0005802464,0.0005853033,0.00117664,0.0007515013,0.001282162,0.00003004089],"category_scores_gemma":[0.001543594,0.001084486,0.0008291365,0.0004885432,0.0002326191,0.0008707012,0.00007462303,0.0007917206,0.00002157567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004535595,"about_ca_system_score_gemma":0.0005625841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000244831,"about_ca_topic_score_gemma":0.00000514998,"domain_scores_codex":[0.994262,0.00007529939,0.001739138,0.001140831,0.002022928,0.0007597708],"domain_scores_gemma":[0.993893,0.0005277703,0.0007695135,0.0006642871,0.003735964,0.0004094448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01290878,0.005695239,0.02399292,0.04245741,0.02312961,0.002060642,0.03394672,0.1478672,0.4473332,0.08721918,0.1633141,0.01007493],"study_design_scores_gemma":[0.01064086,0.008303184,0.1228122,0.02236477,0.003467106,0.003707888,0.003546543,0.03871034,0.3841523,0.01908811,0.3702149,0.01299176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260549,0.00761133,0.001645504,0.00005357982,0.0155384,0.002158752,0.001063011,0.0004723967,0.1454021],"genre_scores_gemma":[0.9581541,0.00002703428,0.002419351,0.00002939583,0.002259309,0.0002288979,0.0026882,0.0001795319,0.03401412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2069008,"threshold_uncertainty_score":0.9998602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009943881879544916,"score_gpt":0.2428709487842021,"score_spread":0.2329270669046572,"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."}}