{"id":"W7058528211","doi":"","title":"Mapping the undocumented: recording ephemerality in the Northern Quarter of Brussels","year":2020,"lang":"en","type":"article","venue":"Lirias (KU Leuven)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ethnography; Assemblage (archaeology); Period (music)","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":[0.0002371633,0.0001750223,0.0003146062,0.001267324,0.0009568781,0.001740749,0.0004211331,0.0004172082,0.003621668],"category_scores_gemma":[0.001236788,0.0001318463,0.00009802141,0.002587434,0.0006581666,0.0005134448,0.0006730785,0.000309602,0.0009868338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008891175,"about_ca_system_score_gemma":0.001366092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2946649,"about_ca_topic_score_gemma":0.3881504,"domain_scores_codex":[0.9997497,0.00003056435,0.00001367509,0.00005476227,0.00008425257,0.0000670247],"domain_scores_gemma":[0.9994996,0.00007945421,0.00009267143,0.00005851769,0.0002035361,0.0000662859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001626528,0.0001108932,0.471274,0.001111443,0.0003163384,0.006656738,0.03198564,0.01466454,0.049359,0.003340278,0.04153841,0.3780162],"study_design_scores_gemma":[0.00002567265,0.00004540968,0.8705894,0.0003030919,0.00003669096,0.0005968646,0.01114007,0.003806767,0.001976779,0.0003805117,0.1110517,0.00004704658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683605,0.001163836,0.001282685,0.0004064708,0.0001187294,0.00002128476,0.003980193,0.0001755082,0.02449063],"genre_scores_gemma":[0.9863907,0.000525879,0.001723367,0.00003743227,0.00003913829,0.00001508305,0.002109091,0.00009706628,0.009062214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2946649,"threshold_uncertainty_score":0.5858995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895896991577896,"score_gpt":0.2271630244692559,"score_spread":0.198204054553477,"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."}}