{"id":"W6990011722","doi":"","title":"Concordia University's Subway, 16.02.16","year":2016,"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":"Front (military); Window (computing); Identification (biology); Class (philosophy)","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":[0.0004462767,0.0007657231,0.0003951898,0.001274636,0.002930799,0.003053848,0.0008280322,0.0009694605,0.5329614],"category_scores_gemma":[0.001613726,0.000377901,0.000255218,0.001112138,0.0005247319,0.0006713005,0.00171301,0.001399482,0.2930184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374633,"about_ca_system_score_gemma":0.002373657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1050684,"about_ca_topic_score_gemma":0.3208477,"domain_scores_codex":[0.9995711,0.00003398268,0.00001216437,0.00006941405,0.0001844094,0.0001288894],"domain_scores_gemma":[0.9991736,0.00004337271,0.00002675501,0.0001412727,0.0003833117,0.0002316431],"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":[0.0001631732,0.00003149513,0.0005309259,0.00007063344,0.000002395334,0.00009488673,0.0004022057,0.00003728231,0.0004621199,0.001048916,0.967539,0.02961707],"study_design_scores_gemma":[0.00001528048,0.00002884446,0.008455281,0.0000848398,0.000002079161,0.00002561187,0.0003201885,0.00005437691,0.0004833106,0.00009381466,0.990427,0.000009211368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005163453,0.0002698738,0.0003654928,0.0009078625,0.001813828,0.0001500054,0.0200016,0.002409887,0.968918],"genre_scores_gemma":[0.007206805,0.00009518382,0.0001732558,0.00006952682,0.0001372017,0.00002478216,0.003303116,0.0005026405,0.9884875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4670386,"threshold_uncertainty_score":0.6661738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005551892199764269,"score_gpt":0.1809311929624345,"score_spread":0.1753793007626702,"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."}}