{"id":"W2891465749","doi":"10.1386/public.29.57.228_7","title":"ACTIVATING HISTORY: The Living Counter-Archive of Urban Vernacular Paths","year":2018,"lang":"en","type":"article","venue":"Public","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Vernacular; Neighbourhood (mathematics); TRACE (psycholinguistics); Key (lock); Industrial city; Sociology; History; Computer science; Art; Regional science; Literature; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006395428,0.0004117368,0.0002797409,0.001679135,0.01340394,0.009591312,0.001297687,0.001340001,0.007780021],"category_scores_gemma":[0.01177132,0.0004102069,0.0001275361,0.002018456,0.02939108,0.007708742,0.009527861,0.002927511,0.0006387426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005104925,"about_ca_system_score_gemma":0.0040297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421105,"about_ca_topic_score_gemma":0.03526419,"domain_scores_codex":[0.9955598,0.00316575,0.000102458,0.0002975987,0.0004792449,0.0003951942],"domain_scores_gemma":[0.9895746,0.004191093,0.001213777,0.003070676,0.001060223,0.0008897476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002482367,0.00001146576,0.002450372,0.00005352021,0.000003127201,0.0003575556,0.8674763,0.00005170456,0.0003427596,0.1047432,0.008234232,0.01625098],"study_design_scores_gemma":[0.000006519892,0.00003426771,0.002216173,0.0001780961,0.000009744516,0.0003048553,0.6019514,0.0002272496,0.0009917719,0.01204901,0.3820077,0.00002316766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7025623,0.001368558,0.009148469,0.02494401,0.0009130709,0.000102284,0.0002472494,0.0003457877,0.2603683],"genre_scores_gemma":[0.9795425,0.0002670902,0.001016799,0.0006741036,0.00006680433,0.00002603171,0.00005519076,0.00009350852,0.01825797],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01421105,"threshold_uncertainty_score":0.03703904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355981610739607,"score_gpt":0.2855291827089882,"score_spread":0.2419693666015921,"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."}}