{"id":"W2301938508","doi":"","title":"Criminalising people in public space in Australia and Canada","year":2006,"lang":"en","type":"article","venue":"Parity","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowds; Public order; Public space; State (computer science); Politics; Law; Political science; Space (punctuation); Criminology; Order (exchange); Sociology; Computer security; Engineering; Business","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":[0.0009617574,0.0002076432,0.0004822081,0.002122955,0.01174535,0.002313236,0.001345048,0.001120172,0.003452962],"category_scores_gemma":[0.004482465,0.0004043492,0.000353339,0.003574837,0.002780251,0.001257632,0.003744666,0.002117047,0.0002069078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0407633,"about_ca_system_score_gemma":0.07993355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945252,"about_ca_topic_score_gemma":0.9983596,"domain_scores_codex":[0.9976337,0.0002823442,0.00006912923,0.0001516889,0.0006818622,0.001181373],"domain_scores_gemma":[0.995596,0.0002414855,0.0004387125,0.00008557293,0.001241537,0.002396712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002185683,0.0006152755,0.6681244,0.0003413807,0.0001198871,0.002432903,0.1478946,0.000628575,0.0006812382,0.01677734,0.03216041,0.1300053],"study_design_scores_gemma":[0.00001657504,0.00008359787,0.8800886,0.0001631078,0.00003347257,0.0003051058,0.08773758,0.0005228002,0.0001305095,0.0005342302,0.03032306,0.00006142496],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735271,0.001069352,0.00007484933,0.005548394,0.00008820029,0.00006474977,0.0002605586,0.000009583108,0.01935712],"genre_scores_gemma":[0.9805558,0.001321927,0.0002111208,0.001429962,0.00002636292,0.00004373872,0.0001392683,0.000007412822,0.01626426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0407633,"threshold_uncertainty_score":0.2957598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08134404468530312,"score_gpt":0.3555857920021095,"score_spread":0.2742417473168064,"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."}}