{"id":"W6960894157","doi":"10.14288/1.0362747","title":"Princess of Vancouver","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Subject (documents); Face (sociological concept)","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":[0.0004262615,0.0006682879,0.0004292596,0.001455915,0.008109118,0.005791347,0.0008222646,0.001243654,0.2327503],"category_scores_gemma":[0.002897869,0.0003800771,0.000219581,0.002669021,0.0008747244,0.001261858,0.00220821,0.001863261,0.05878315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006394353,"about_ca_system_score_gemma":0.01331792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6086416,"about_ca_topic_score_gemma":0.8622258,"domain_scores_codex":[0.9991618,0.00004909889,0.00003127667,0.0001558209,0.0004083141,0.0001935969],"domain_scores_gemma":[0.9980332,0.0001145074,0.00007072822,0.0001258671,0.001200358,0.0004554339],"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":[0.00003964304,0.000009211075,0.0008634041,0.0001275489,0.0000055405,0.0004159645,0.0004540065,0.00003368278,0.0001341754,0.006292712,0.9461223,0.04550185],"study_design_scores_gemma":[0.0000019633,0.000002670563,0.00146142,0.00004087985,0.00000112999,0.00008520758,0.0002289604,0.000005552466,0.00004426071,0.0001545369,0.9979692,0.00000422639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006443866,0.02519983,0.0003080892,0.01879925,0.008356553,0.00007800836,0.007660158,0.0002290283,0.9329252],"genre_scores_gemma":[0.008995497,0.004484873,0.0001180702,0.001262586,0.0002334366,0.00001434231,0.000951728,0.0000753752,0.9838642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7672497,"threshold_uncertainty_score":0.7873265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012123641827559,"score_gpt":0.236578514461357,"score_spread":0.1864572780430814,"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."}}