{"id":"W6923750719","doi":"10.14288/1.0079373","title":"The Daily Canadian","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Energetic Materials and Combustion","field":"Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00009482032,0.00003108235,0.00003115162,0.00001129264,0.0008327911,0.000776597,0.000131106,0.00001773562,0.0001565981],"category_scores_gemma":[0.00001563022,0.00002396473,0.000006922103,0.0001920672,0.000007033986,0.00004392392,0.0000154577,0.00002786468,0.0000291654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000862352,"about_ca_system_score_gemma":0.000101774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2487851,"about_ca_topic_score_gemma":0.616033,"domain_scores_codex":[0.9997748,0.00001038219,0.00005075248,0.00003542936,0.00003257043,0.00009607527],"domain_scores_gemma":[0.9997665,0.000008991017,0.000003769956,0.00009654516,0.00002645597,0.00009768583],"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":[0.000001040917,0.000001321117,0.000002704423,4.503119e-7,0.000005247683,4.770109e-7,0.00002679975,0.006621328,0.00002115514,0.000569012,0.9922044,0.0005461017],"study_design_scores_gemma":[0.00008976643,0.000008856077,0.00003868438,0.000001907411,0.000003052902,0.000003904593,0.0001092763,0.003486481,0.0003556896,0.001719193,0.9941378,0.00004544842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001060418,0.0000482677,0.0002112372,0.0002624324,0.001184689,0.0001037697,0.000006265376,0.00004371992,0.9970792],"genre_scores_gemma":[0.4323086,0.00007551975,0.0007362162,0.00009990813,0.0001881689,0.0002018957,0.000008681898,0.00002487825,0.5663561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4312482,"threshold_uncertainty_score":0.7562173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688422974152622,"score_gpt":0.2079710602068232,"score_spread":0.191086830465297,"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."}}