{"id":"W6885985112","doi":"10.14288/1.0136215","title":"T.W. Krell, Canada Manpower officer","year":2003,"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":"Officer; Government (linguistics); Work (physics); Agency (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":[],"category_scores_codex":[0.0003101864,0.0006523815,0.0004461699,0.001162734,0.00518177,0.002980601,0.0009734115,0.001368296,0.6225768],"category_scores_gemma":[0.001484346,0.0004841921,0.0002384717,0.0013259,0.0004981905,0.0006908732,0.0009913514,0.001442292,0.3988052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005336263,"about_ca_system_score_gemma":0.0141139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6471665,"about_ca_topic_score_gemma":0.8952361,"domain_scores_codex":[0.9995816,0.00001314358,0.000008599005,0.00004897872,0.0002094592,0.0001382285],"domain_scores_gemma":[0.9980417,0.00007329847,0.00003237359,0.00005640258,0.001289801,0.000506314],"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":[0.00001289543,0.000009840328,0.0002125265,0.00002160212,6.980723e-7,0.00003159448,0.00003375606,0.00002688,0.00008778715,0.001034971,0.9839153,0.01461218],"study_design_scores_gemma":[0.000006540098,0.000004455988,0.001208057,0.00003549219,0.00000169862,0.00003229321,0.0001528386,0.00007583692,0.0001150037,0.0001452081,0.9982172,0.000005426676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009912129,0.0005140557,0.0003228681,0.002928479,0.000453156,0.0001117515,0.004457552,0.0008050139,0.9894159],"genre_scores_gemma":[0.0007648424,0.0001146082,0.00005942213,0.0001340382,0.000008528341,0.000006302057,0.0003415178,0.00007475378,0.9984959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6225768,"threshold_uncertainty_score":0.7098228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00512071475249861,"score_gpt":0.15454147839643,"score_spread":0.1494207636439313,"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."}}