{"id":"W6991342614","doi":"","title":"GORMLEY - SUSAN EWART FRED BRADSHAW - JULY 8","year":2021,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Joins; Logging; Trade association; Executive branch","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":[0.0005433827,0.0005282286,0.0002602095,0.00055512,0.006459021,0.004781425,0.0008735437,0.003117046,0.4881754],"category_scores_gemma":[0.001415546,0.0006233815,0.0002854044,0.0004910193,0.0007403073,0.00156105,0.001856174,0.003129296,0.2197747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005783245,"about_ca_system_score_gemma":0.01017366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3405696,"about_ca_topic_score_gemma":0.7138091,"domain_scores_codex":[0.9993773,0.00003262526,0.00001282136,0.0000832314,0.0002778911,0.0002161073],"domain_scores_gemma":[0.9990942,0.00005534691,0.00001497976,0.00004757449,0.0004901044,0.0002977313],"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":[0.000006630617,0.00001211299,0.0001358943,0.000009700615,4.00459e-7,0.00003657139,0.00005131111,0.000009727517,0.0000729657,0.002033696,0.991908,0.005723074],"study_design_scores_gemma":[0.000002586951,0.000003158576,0.0004250247,0.0000211961,6.563268e-7,0.00002031531,0.0002038204,0.00002058279,0.00008958339,0.000215336,0.9989941,0.000003841953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009744586,0.0004735952,0.0002159134,0.01084645,0.001488906,0.00008293473,0.001196837,0.000440889,0.9842801],"genre_scores_gemma":[0.0009133698,0.00007333483,0.0000422199,0.00148689,0.00001651371,0.000007486332,0.0001172523,0.00003862738,0.9973043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5118246,"threshold_uncertainty_score":0.7300557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662318025275234,"score_gpt":0.2556510196648788,"score_spread":0.2390278394121265,"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."}}