{"id":"W2234397202","doi":"","title":"Mobile populations by walking: the representation of on an empirical research on public spaces in the city of Turin, Italy","year":2015,"lang":"en","type":"article","venue":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","topic":"Italian Social Issues and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Representation (politics); Population; Subject (documents); Geography; Sociology; Public space; Public relations; Political science; Demography; Computer science; Library science; Architectural engineering; Engineering; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.004369051,0.000158173,0.0002669806,0.0002850819,0.001056242,0.0008138263,0.001849118,0.0001829834,0.00003040556],"category_scores_gemma":[0.001022126,0.0001150806,0.0001018179,0.002203546,0.0005274406,0.001244904,0.000187002,0.0003697633,0.00000766003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004559394,"about_ca_system_score_gemma":0.0006718299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03479964,"about_ca_topic_score_gemma":0.003693635,"domain_scores_codex":[0.9947657,0.002021417,0.0007203346,0.0004771097,0.001559219,0.0004561943],"domain_scores_gemma":[0.9962504,0.000481941,0.0004536247,0.001271096,0.001312391,0.0002305398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005807981,0.001743397,0.3889522,0.000007554239,0.00002740745,0.000001621255,0.07265382,0.00003319525,0.000180127,0.5039111,0.03059156,0.00183995],"study_design_scores_gemma":[0.0005466245,0.0008845135,0.3994181,0.0000385014,0.0000336332,0.000003480291,0.1375781,0.00002758643,0.002237327,0.006894894,0.4519972,0.0003400242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8350726,0.0001838942,0.00001274996,0.00501273,0.0004856817,0.001754316,0.00003452125,0.00004347271,0.1574],"genre_scores_gemma":[0.991559,0.0000272233,0.00007820051,0.0000658465,0.000493229,0.0006566617,0.00012017,0.00001652533,0.00698317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4970162,"threshold_uncertainty_score":0.9716277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3534957798967971,"score_gpt":0.5211757557787446,"score_spread":0.1676799758819475,"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."}}