{"id":"W6886075664","doi":"10.14288/1.0371362","title":"English Bay, Vancouver, Canada","year":2018,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Subject (documents); Work (physics); Identification (biology)","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":[0.0004086036,0.001183483,0.0006397247,0.001755853,0.006568088,0.005377065,0.001400509,0.001804431,0.6647094],"category_scores_gemma":[0.00235444,0.0005755095,0.0005003547,0.002605441,0.0008906191,0.001086847,0.001227698,0.002091653,0.371782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00938694,"about_ca_system_score_gemma":0.02080266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8539869,"about_ca_topic_score_gemma":0.9661036,"domain_scores_codex":[0.9993817,0.00003077139,0.00002334966,0.00009138353,0.0002717629,0.0002010255],"domain_scores_gemma":[0.9977288,0.000154857,0.00005491002,0.0001314911,0.001390794,0.0005392045],"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":[0.00006570775,0.00004475012,0.0008125162,0.0001169081,0.000006577105,0.0001202107,0.00008941583,0.0001153526,0.0001142133,0.002545051,0.9474145,0.04855482],"study_design_scores_gemma":[0.0000258835,0.00001030327,0.004235313,0.0001889807,0.000006991681,0.00005219658,0.0002769903,0.000142277,0.0001813078,0.0007301654,0.9941361,0.00001349251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00182292,0.00115159,0.0002796955,0.001030144,0.0004604404,0.0000766849,0.01776619,0.0006383334,0.9767741],"genre_scores_gemma":[0.002122811,0.0004302161,0.0001483399,0.0001183031,0.00001380633,0.00001464865,0.002026586,0.0002066174,0.9949188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3352906,"threshold_uncertainty_score":0.4782513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004755873473976035,"score_gpt":0.1526772582889934,"score_spread":0.1479213848150173,"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."}}