{"id":"W7049807402","doi":"","title":"Jul 24 31 2015","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; 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":["insufficient_payload"],"category_scores_codex":[0.0001718849,0.0002706734,0.000302825,0.00009124411,0.00001684494,0.00003877239,0.0002024073,0.0003503915,0.2396116],"category_scores_gemma":[0.00003934389,0.0002798835,0.00008563713,0.000007179467,0.00004488658,1.825469e-7,0.00003263275,0.0002048475,0.0121473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006554239,"about_ca_system_score_gemma":0.00003052452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004148057,"about_ca_topic_score_gemma":0.0005438262,"domain_scores_codex":[0.998857,0.00002002571,0.0004306331,0.0001030818,0.0003896671,0.0001996398],"domain_scores_gemma":[0.9993033,0.00001422692,0.0001512166,0.000290718,0.0001143083,0.0001261894],"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":[0.000009094404,0.00001145436,1.845892e-7,0.0003146761,0.00003830431,0.000003673516,0.00004411318,0.0002688359,0.000001176801,0.00001499748,0.9986617,0.0006317939],"study_design_scores_gemma":[0.0002554303,0.000041888,3.481065e-7,0.0001599906,0.00002707792,0.0000171551,0.00002203124,0.00008558048,0.00004974991,0.000007461435,0.9990448,0.0002884831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001158522,0.0007144861,0.000004251637,0.00006746133,0.0005375636,0.0003433117,0.0001359301,0.001368757,0.9968271],"genre_scores_gemma":[0.00007714903,0.0003040046,0.001155847,0.0001333943,0.0001732487,0.0000173052,0.0002824836,0.0001533637,0.9977032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2274643,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009560240830530004,"score_gpt":0.1874326651407075,"score_spread":0.1778724243101775,"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."}}