{"id":"W2599927622","doi":"","title":"Research guides: Richard Charles Lee Canada-Hong Kong Library - New Arrivals & Staff Picks: 2016 July Hong Kong SAR Establishment Day","year":2016,"lang":"en","type":"libguides","venue":"","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Library science; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003551436,0.001022786,0.0009431855,0.003259351,0.007837517,0.006929514,0.001102946,0.002014081,0.4766351],"category_scores_gemma":[0.009793776,0.001142173,0.00051048,0.005251346,0.001365763,0.003763751,0.002782907,0.003290656,0.2528046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01028054,"about_ca_system_score_gemma":0.0353803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3756924,"about_ca_topic_score_gemma":0.6639373,"domain_scores_codex":[0.9989914,0.0001821577,0.00006181064,0.000123644,0.0003957939,0.0002451546],"domain_scores_gemma":[0.9862269,0.00102098,0.0003944323,0.0004836301,0.008529026,0.003345026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006568376,0.000006027642,0.0001712344,0.00002616421,4.68593e-7,0.000007043372,0.0001362725,0.000006788981,0.000006083515,0.0002091687,0.9958951,0.003529029],"study_design_scores_gemma":[0.000006643958,0.000009740082,0.003181398,0.0001886898,0.000002405715,0.00001141507,0.00311569,0.00001801445,0.00004077384,0.0001183761,0.9932981,0.000008600569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004541496,0.01160022,0.000614989,0.07851487,0.022244,0.001413993,0.04769818,0.001669594,0.8317026],"genre_scores_gemma":[0.002057331,0.001635745,0.0001106505,0.001279983,0.000310074,0.0001878104,0.001506716,0.0001952729,0.9927165],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6243076,"threshold_uncertainty_score":0.7470112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05283540125554213,"score_gpt":0.3349614663655315,"score_spread":0.2821260651099893,"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."}}