{"id":"W6960787825","doi":"10.14288/1.0361527","title":"Section of Chinese District, Vancouver, B.C.","year":2017,"lang":"en","type":"other","venue":"Open Collections","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Derogation; Core (optical fiber); Feature (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002081098,0.0006716368,0.0004134316,0.001358203,0.006563136,0.002718987,0.0005392768,0.0006396796,0.6044649],"category_scores_gemma":[0.0006655774,0.0003493676,0.0002258419,0.002513395,0.0007040201,0.0008258334,0.0009294296,0.001368257,0.2745928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003588873,"about_ca_system_score_gemma":0.005400547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3483985,"about_ca_topic_score_gemma":0.7877553,"domain_scores_codex":[0.9997138,0.00001641158,0.00000535924,0.00006000773,0.0001251414,0.00007928246],"domain_scores_gemma":[0.9993203,0.00002938245,0.00001187874,0.00004033288,0.0003894508,0.0002087303],"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":[0.00003478396,0.00001581188,0.0006625594,0.00006882767,0.000002421526,0.00008717344,0.0001273816,0.0000424071,0.0002944969,0.001938156,0.9567084,0.04001765],"study_design_scores_gemma":[0.000002749816,0.00000520994,0.00251394,0.00003267502,0.000001734654,0.00003210013,0.000332058,0.00003058436,0.0001451577,0.0001321266,0.9967681,0.000003555826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001726105,0.0007521979,0.0002882698,0.001004701,0.0007061907,0.00005900148,0.004389111,0.0003753334,0.990699],"genre_scores_gemma":[0.002572755,0.0002421928,0.00008948937,0.00006303658,0.0000242913,0.000007357907,0.0007054294,0.00007567947,0.9962197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6044649,"threshold_uncertainty_score":0.6927412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0759949734067094,"score_gpt":0.3848655696616481,"score_spread":0.3088705962549387,"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."}}