{"id":"W2328880668","doi":"10.5509/2008812175","title":"Time-Space Punctuation: Hong Kong's Border Regime and Limits on Mobility","year":2008,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Punctuation; Space (punctuation); Political science; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047458,0.0001458777,0.0001799558,0.00005960533,0.0008510264,0.00005089256,0.0001288081,0.0001349498,0.0003160399],"category_scores_gemma":[0.0004468379,0.0001355632,0.00005695586,0.000247826,0.0008598341,0.0001552833,0.00002139123,0.0001618665,0.0005409048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009183585,"about_ca_system_score_gemma":0.000182248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000178535,"about_ca_topic_score_gemma":0.00007987311,"domain_scores_codex":[0.9985088,0.000180847,0.0001544796,0.0003305704,0.0004166892,0.0004086065],"domain_scores_gemma":[0.9990399,0.0002647901,0.00006443619,0.0002931676,0.00009872689,0.0002389514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002490422,0.001538576,0.03833605,0.0001333858,0.000233883,0.0002815813,0.4351091,0.000268102,0.0003253212,0.3101493,0.1897803,0.02359542],"study_design_scores_gemma":[0.001717659,0.0005454576,0.0236026,0.00013932,0.0000883523,0.00003998049,0.5402619,0.0008910326,0.0008090158,0.00982712,0.4204183,0.001659358],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1201707,0.000119696,0.0000452846,0.002912456,0.0002271607,0.000222162,0.0000106859,0.0001872569,0.8761046],"genre_scores_gemma":[0.9576685,0.0001238898,0.0001784485,0.00002523454,0.0002709432,0.000006449555,0.000005734104,0.00001453003,0.04170625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8374978,"threshold_uncertainty_score":0.6952417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319932360033752,"score_gpt":0.2769975426013307,"score_spread":0.2537982190009932,"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."}}