{"id":"W2283780548","doi":"","title":"Report on Reforming Suspended Sentences in Hong Kong","year":2012,"lang":"en","type":"article","venue":"The HKU Scholars Hub (University of Hong Kong)","topic":"Legal and Social Justice Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imprisonment; Sentence; Law; Context (archaeology); Political science; Power (physics); Criminal law; Commission; Geography; Linguistics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002246866,0.0001246786,0.0002480173,0.0001168203,0.001746919,0.00004261984,0.000531553,0.000112745,0.0001187491],"category_scores_gemma":[0.0004219205,0.0001092725,0.0001263946,0.0005270182,0.0006717976,0.001262581,0.0002007851,0.0004232719,0.00005612808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973381,"about_ca_system_score_gemma":0.0001129125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01376514,"about_ca_topic_score_gemma":0.01398295,"domain_scores_codex":[0.9982201,0.0003158264,0.0001610883,0.0002018342,0.0005972141,0.0005039093],"domain_scores_gemma":[0.9991368,0.0001889177,0.0002074097,0.0002281394,0.0001182719,0.0001204729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001619693,0.0003470278,0.6443283,0.0000527016,0.0001769167,0.0003866251,0.2877792,0.00002551206,0.0004545923,0.0571308,0.001378854,0.007777503],"study_design_scores_gemma":[0.0005204022,0.00005376173,0.4083999,0.0001341951,0.0001052955,0.000007054693,0.5780759,0.00000784565,0.0001294153,0.001382146,0.01086329,0.0003207633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158245,0.0002013753,0.000007799935,0.00317389,0.0004837146,0.000178448,0.000003295306,0.00004958631,0.08007737],"genre_scores_gemma":[0.9941056,0.0002301335,0.0001173367,0.00007056681,0.0002106751,2.8708e-7,0.000002070615,0.000006761185,0.005256571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2902967,"threshold_uncertainty_score":0.9995527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065873775236296,"score_gpt":0.2813657057557011,"score_spread":0.2507069680033382,"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."}}