{"id":"W7135080642","doi":"10.65968/myge8047","title":"Sound/Tracking Montreal’s Underground City","year":2017,"lang":"","type":"article","venue":"Wi Journal of Mobile Media","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001917609,0.0006865465,0.0013312,0.0002947633,0.001082667,0.001434074,0.001813582,0.0005512069,0.001551148],"category_scores_gemma":[0.001788372,0.0006353632,0.0007465515,0.0001448773,0.0007154325,0.002639689,0.0002711956,0.001970917,0.00002426588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101229,"about_ca_system_score_gemma":0.000578568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025662,"about_ca_topic_score_gemma":0.0006179032,"domain_scores_codex":[0.9953327,0.0001768606,0.001903864,0.000422928,0.001113363,0.001050349],"domain_scores_gemma":[0.9942827,0.0006265985,0.001772219,0.001536562,0.001055711,0.0007262038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001031116,0.001462145,0.1809982,0.00226448,0.004226828,0.003873311,0.03573418,0.03856182,0.002121626,0.0033066,0.02206866,0.7043511],"study_design_scores_gemma":[0.007200044,0.001549583,0.5447358,0.001212705,0.001372228,0.001947203,0.01393968,0.00369392,0.001297011,0.3775871,0.04317455,0.00229021],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414706,0.01093464,0.01972967,0.0005614603,0.01137929,0.0004846111,0.00003566558,0.00005792129,0.0153461],"genre_scores_gemma":[0.9927434,0.002161381,0.0008059653,0.00006073834,0.003847165,0.000008167709,0.000003574395,0.00009633215,0.0002732326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7020608,"threshold_uncertainty_score":0.9996098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637036266363142,"score_gpt":0.2585265001023637,"score_spread":0.2421561374387323,"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."}}