{"id":"W6961389814","doi":"10.14288/1.0422746","title":"[Great Northern Railway welcome arch]","year":2022,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Neonatal Health and Biochemistry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arch; Signage; FLAGS register; Fence (mathematics); Work (physics); Downtown","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008446949,0.00007623747,0.0004982268,0.00007448783,0.0001310453,0.00001408246,0.000289041,0.0002731461,0.02178746],"category_scores_gemma":[0.00001459523,0.0002809024,0.0002130631,0.0002156808,0.0002506143,0.00002575433,0.0002054887,0.0004074869,0.00009844956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805566,"about_ca_system_score_gemma":0.0003049387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2374969,"about_ca_topic_score_gemma":0.5089314,"domain_scores_codex":[0.9986556,0.00002921597,0.000116897,0.0004797691,0.0004060294,0.0003125471],"domain_scores_gemma":[0.9989875,0.00001754024,0.0001798575,0.0004553444,0.00006011083,0.0002996309],"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":[0.00004603644,0.0001519103,0.03281134,0.001627957,0.0001091132,0.001834444,0.00002952738,4.289464e-8,0.00004068539,1.050531e-7,0.5322702,0.4310787],"study_design_scores_gemma":[0.001709561,0.0001693337,0.4364683,0.000554493,0.0001108571,0.0004229789,0.0004113158,0.000001791614,4.245238e-7,0.000008914892,0.5598872,0.0002548861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2790069,0.003068765,0.000008185149,0.0002570166,0.0003781529,0.0007566875,0.002068093,0.0003194413,0.7141368],"genre_scores_gemma":[0.1194148,0.0006237428,0.0001910044,0.0001709497,0.0002353893,0.000001138243,0.0006602398,0.0001836481,0.8785191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4308238,"threshold_uncertainty_score":0.9999643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007553933711756174,"score_gpt":0.1917004235134822,"score_spread":0.184146489801726,"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."}}