{"id":"W6999248784","doi":"","title":"Colourful Calls: Farhan Mohamed (Daily Hive Vancouver)","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Clothing; Period (music); Object (grammar)","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":[0.0004661728,0.0005542088,0.0003759413,0.0004935932,0.005946634,0.003133161,0.0008059181,0.002774877,0.5545575],"category_scores_gemma":[0.00210228,0.0003860307,0.0001932762,0.0004528474,0.0004518164,0.001150951,0.002131658,0.003217334,0.243929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208718,"about_ca_system_score_gemma":0.003459701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.25798,"about_ca_topic_score_gemma":0.6095118,"domain_scores_codex":[0.9995928,0.00005160982,0.000007763879,0.00004480455,0.0001537347,0.0001493494],"domain_scores_gemma":[0.9980965,0.0001361878,0.00003897397,0.00005858235,0.0006689131,0.00100077],"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":[0.000006147664,0.000004376187,0.0000695946,0.000009081346,3.641962e-7,0.00003008896,0.00005587142,0.00000380114,0.00002184291,0.0001792948,0.993862,0.005757547],"study_design_scores_gemma":[0.000002803699,0.00000329928,0.0004936664,0.00002477237,5.71293e-7,0.00003250783,0.000378529,0.00001285725,0.000031111,0.00007022664,0.9989447,0.000004781326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001712522,0.003684103,0.0002030708,0.03407097,0.005158513,0.0000905412,0.00255725,0.0008761593,0.9516469],"genre_scores_gemma":[0.001684469,0.0002890746,0.00004548864,0.002722413,0.00009816919,0.000009784976,0.0001724473,0.00009007576,0.994888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4454425,"threshold_uncertainty_score":0.6353697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006332714346743576,"score_gpt":0.1844603680701038,"score_spread":0.1781276537233603,"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."}}