{"id":"W6961188394","doi":"10.14288/1.0079008","title":"The Daily Canadian","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Variety (cybernetics)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001180867,0.00003321217,0.0000377588,3.247739e-7,0.005939738,0.0008529854,0.000306727,0.00001899804,0.0002521299],"category_scores_gemma":[0.00004287743,0.000009321062,0.00001848306,0.0005552614,0.00003022147,0.00003512689,0.00008286672,0.00004372306,0.00005622226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005198265,"about_ca_system_score_gemma":0.00002102374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7819659,"about_ca_topic_score_gemma":0.9850811,"domain_scores_codex":[0.9996489,0.00001707707,0.00005959953,0.00008607771,0.00004960423,0.0001386899],"domain_scores_gemma":[0.9996362,0.0000828787,0.0000132496,0.00003673201,0.0000574486,0.0001734363],"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":[0.000001923976,0.00001029672,0.00006600338,2.28498e-8,0.000004486202,1.569304e-7,0.000007433641,0.000001051024,0.00002267591,0.0005373715,0.9737501,0.02559845],"study_design_scores_gemma":[0.00003399547,0.00003093347,0.002416376,4.900617e-7,0.000002175309,0.0000015111,0.0004898475,0.00001718319,0.000006006442,0.00183614,0.9951292,0.00003612064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005073152,0.0000911004,0.000002126059,0.03199585,0.0001515412,0.0003656869,0.00004796706,0.00002152608,0.9622511],"genre_scores_gemma":[0.5264347,0.00009625032,0.0001155086,0.00141947,0.0003458346,0.0004695035,0.00001632673,8.521961e-7,0.4711016],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5213615,"threshold_uncertainty_score":0.9953544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133472460335659,"score_gpt":0.2431977812831116,"score_spread":0.191863056679755,"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."}}