{"id":"W6977709197","doi":"10.7916/d8kh20m9","title":"Alberta Chair Works. Bill - Recto","year":2018,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics)","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":[0.0001569183,0.0002246304,0.0003713577,0.0002597008,0.0005319391,0.00008519887,0.001071226,0.0008337221,0.001317156],"category_scores_gemma":[0.00006921003,0.0003791417,0.0001307983,0.001392524,0.0006621243,0.0005103448,0.000255957,0.001274443,0.0002889393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335218,"about_ca_system_score_gemma":0.00006781845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02830543,"about_ca_topic_score_gemma":0.4564564,"domain_scores_codex":[0.9983647,0.00007936787,0.0002809404,0.0004561679,0.0001537362,0.0006650985],"domain_scores_gemma":[0.998754,0.0001822483,0.00005506899,0.0007180342,0.00008202026,0.0002086114],"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":[0.00008877781,0.0001178282,0.1453934,0.000117121,0.0005020241,0.0001934621,0.001313668,0.0002882415,0.001323468,0.007699194,0.8051805,0.03778229],"study_design_scores_gemma":[0.001390446,0.0002887452,0.04178802,0.0002780529,0.0001503075,0.00005731934,0.001427637,0.004534899,0.0001232073,0.01325144,0.9354566,0.001253375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6003138,0.0004339361,0.0002914178,0.0003866545,0.000755552,0.0003923217,0.00002965618,0.001600118,0.3957965],"genre_scores_gemma":[0.9478145,0.0004883879,0.0002094072,0.00007090077,0.0001595129,0.000004795447,0.00001423982,0.00004779895,0.05119046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.428151,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131746017532847,"score_gpt":0.1866270561616392,"score_spread":0.1753095959863107,"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."}}