{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007358323,0.0005034361,0.0002875784,0.001369455,0.001333581,0.003253775,0.0004845379,0.0008813466,0.4017846],"category_scores_gemma":[0.00288312,0.000210035,0.0002669847,0.001039881,0.0003601,0.0008640849,0.001549755,0.0009759979,0.271672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015293,"about_ca_system_score_gemma":0.002641556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04511445,"about_ca_topic_score_gemma":0.1885624,"domain_scores_codex":[0.9996008,0.00003010811,0.0000218975,0.0000354958,0.0002312501,0.00008040769],"domain_scores_gemma":[0.9992434,0.00005149356,0.00003670251,0.00005416686,0.0004613092,0.0001529441],"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":[0.00003413064,0.00001042666,0.0002863354,0.00009397315,0.000001988122,0.00004761079,0.00005468207,0.00002037628,0.0000955532,0.0007269062,0.9817837,0.01684431],"study_design_scores_gemma":[0.000002739386,0.000005762838,0.001556651,0.0000978219,0.00000117751,0.00001259049,0.00007036627,0.0000108635,0.00006052274,0.0001026708,0.9980762,0.000002658611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0021066,0.00339358,0.0003281144,0.004017315,0.01020533,0.0001804487,0.0450521,0.0008193052,0.9338971],"genre_scores_gemma":[0.001845443,0.0008140537,0.0001238898,0.0006213996,0.0002570343,0.00003075974,0.00841863,0.0001259123,0.9877629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5982153,"threshold_uncertainty_score":0.8532816,"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."}}