{"id":"W7008609977","doi":"","title":"Chinese Canadian from Toronto 2 P Hill Feb 18","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Work (physics); Table (database); Beijing","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":["insufficient_payload"],"category_scores_codex":[0.000249838,0.0007749253,0.0005334851,0.001400068,0.006610763,0.003535796,0.0006249258,0.0007961266,0.4075412],"category_scores_gemma":[0.000868458,0.0003952143,0.0003520004,0.003682144,0.000633298,0.00103408,0.001440683,0.001405121,0.1504811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01557021,"about_ca_system_score_gemma":0.02281841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9074506,"about_ca_topic_score_gemma":0.9777365,"domain_scores_codex":[0.9997018,0.00001285563,0.000008833764,0.00004384303,0.0001181512,0.0001145427],"domain_scores_gemma":[0.9994357,0.00001663737,0.00001484111,0.00002827508,0.0003443795,0.000160172],"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":[0.00001369758,0.000002233276,0.0002400074,0.00005124689,0.000001791574,0.00005249495,0.0001275824,0.00001934424,0.000034201,0.002300044,0.9901763,0.006981158],"study_design_scores_gemma":[0.00000259939,0.000001577271,0.001889975,0.00005003295,0.000001518516,0.00001512134,0.0002517964,0.000008591221,0.00004532312,0.0001412029,0.9975878,0.000004445859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002133928,0.005650202,0.0002483408,0.009120956,0.003274151,0.00007086391,0.07862321,0.0005498087,0.9003286],"genre_scores_gemma":[0.004723674,0.001783379,0.0001411836,0.000631539,0.0001112415,0.00002027022,0.007222604,0.0002621318,0.985104],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5924587,"threshold_uncertainty_score":0.8450705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010491201021371,"score_gpt":0.2474974996027905,"score_spread":0.2373925875925768,"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."}}