{"id":"W7059025971","doi":"","title":"ESSU July 26 2015","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Government (linguistics); Work (physics); League","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":[0.001328222,0.0006914641,0.0004795092,0.001247802,0.002099439,0.006048631,0.0007952058,0.002036081,0.6501226],"category_scores_gemma":[0.003869729,0.0002722953,0.0003835164,0.0007118824,0.0007435753,0.00212577,0.002730138,0.001639709,0.5586267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993503,"about_ca_system_score_gemma":0.001782168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005007784,"about_ca_topic_score_gemma":0.01828167,"domain_scores_codex":[0.9991252,0.00009922123,0.00003736642,0.0001274721,0.0004644983,0.0001462423],"domain_scores_gemma":[0.9982864,0.0001226731,0.00005095791,0.0002402345,0.0008500311,0.0004496126],"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":[0.00005323738,0.0000282506,0.0001937399,0.0000875407,0.000003349013,0.00006266248,0.00005804658,0.00005297564,0.0002503893,0.004912776,0.956282,0.038015],"study_design_scores_gemma":[0.000001857245,0.000007518136,0.000162344,0.00004322397,6.594533e-7,0.00001496123,0.00003005629,0.00001915363,0.0000909793,0.000289915,0.9993373,0.000002068696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007020774,0.001186057,0.000820987,0.004533419,0.008274423,0.0001280839,0.003542437,0.001229941,0.9795825],"genre_scores_gemma":[0.001445403,0.0003227334,0.0001637114,0.0004362963,0.000233813,0.0000183227,0.000974004,0.0001628834,0.9962428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3498774,"threshold_uncertainty_score":0.4990576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005197169719709282,"score_gpt":0.1819030851573263,"score_spread":0.176705915437617,"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."}}