{"id":"W7059393767","doi":"","title":"Before You Go","year":2013,"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":"Developing country; Higher education; Study abroad; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001027469,0.001211956,0.0008534132,0.001332187,0.003291521,0.007103995,0.001165915,0.004543788,0.8393115],"category_scores_gemma":[0.009834665,0.0004991136,0.0005912661,0.001015928,0.0007812622,0.006339104,0.004132284,0.003619437,0.813356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009559487,"about_ca_system_score_gemma":0.002611981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513763,"about_ca_topic_score_gemma":0.009379635,"domain_scores_codex":[0.9989929,0.0001201414,0.00003547772,0.0001241995,0.0005134853,0.0002138018],"domain_scores_gemma":[0.9931666,0.0005206357,0.0002068445,0.0005359308,0.002312508,0.00325752],"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":[0.00001113945,0.00002610148,0.00005636817,0.00004098608,5.762994e-7,0.00001825318,0.00003551135,0.000006360406,0.00005093887,0.0003736973,0.9770658,0.02231425],"study_design_scores_gemma":[0.000004811003,0.00001425305,0.0001981364,0.00004592629,7.776807e-7,0.00002535756,0.0001319748,0.00000902433,0.00003863982,0.0002665067,0.9992594,0.000005192299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000644655,0.001147416,0.001163263,0.0233539,0.02502802,0.0004472665,0.004842501,0.006067101,0.9373059],"genre_scores_gemma":[0.0009147899,0.0003772585,0.0002595255,0.005846355,0.001377042,0.00008891901,0.0009423933,0.0006064822,0.9895871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8393115,"threshold_uncertainty_score":0.2292026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003426673537030732,"score_gpt":0.1627153496675474,"score_spread":0.1592886761305167,"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."}}