{"id":"W6925949948","doi":"10.21223/p3/czkanf/tguunf","title":"Data Dictionary - A3 - Monitoring Agricultural Activities.docx","year":2018,"lang":"en","type":"dataset","venue":"International Potato Center","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Agriculture; Agricultural productivity; Data collection; Information system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001111408,0.0003270041,0.0001887504,0.00009706715,0.000096542,0.000212413,0.001825327,0.00027355,0.0006507841],"category_scores_gemma":[0.00004448974,0.0002866572,0.000123607,0.00004432177,0.000112575,0.00003915588,0.001912161,0.0003137778,0.0002423262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007657654,"about_ca_system_score_gemma":0.00007368554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006093614,"about_ca_topic_score_gemma":0.0001136032,"domain_scores_codex":[0.9980373,0.00006809764,0.0003030381,0.0007689741,0.000463604,0.0003589602],"domain_scores_gemma":[0.998525,0.00001268565,0.0001561926,0.001037517,0.0001474782,0.0001211232],"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":[0.000124909,0.000174995,0.001928477,0.00002189144,0.0004016171,0.00001643176,0.000004615129,3.400861e-7,0.007014154,5.145253e-7,0.9901059,0.0002061407],"study_design_scores_gemma":[0.0004449523,0.0001020586,0.00313465,0.00009295236,0.0000240631,0.00008904614,0.00003011133,0.000001564317,0.00220169,0.000003790813,0.9935911,0.0002839865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05400258,0.0001235025,0.00001153986,0.0001814771,0.003831904,0.0001512688,0.9413112,0.00001480968,0.0003717425],"genre_scores_gemma":[0.007134586,0.0006131528,0.00005978031,0.0001620982,0.006063355,0.00003381456,0.9841291,0.00002954581,0.001774583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04686799,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804288797101467,"score_gpt":0.3245862251332648,"score_spread":0.2965433371622502,"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."}}