{"id":"W6960610124","doi":"10.1371/journal.pone.0100338.g004","title":"WTN among the top 10 countries in 2012.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Negotiation; Legislation; Context (archaeology)","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":[0.0002311269,0.0005821078,0.0003231012,0.001655645,0.0003304677,0.001523374,0.0004405101,0.0003518347,0.1945068],"category_scores_gemma":[0.0006971817,0.0001704086,0.0003526468,0.004496275,0.0001234619,0.001137058,0.0006963382,0.0007441417,0.1353245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529537,"about_ca_system_score_gemma":0.001185353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00997339,"about_ca_topic_score_gemma":0.02043948,"domain_scores_codex":[0.9998289,0.00001290783,0.00001537759,0.00004839686,0.00005139085,0.00004300714],"domain_scores_gemma":[0.9997502,0.00001391055,0.00003883658,0.00001658507,0.00008967951,0.00009083463],"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":[0.00004491095,0.000008431743,0.001156202,0.0001928521,0.000009446978,0.00004058422,0.00002084273,0.0001019893,0.0001726331,0.002035573,0.9691917,0.02702486],"study_design_scores_gemma":[0.00001587038,0.000006726374,0.007624519,0.000127007,0.000007072067,0.00006967436,0.0001013808,0.0001384256,0.0001678767,0.0004597824,0.991276,0.000005573845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006433065,0.00290153,0.001185178,0.002304614,0.004796069,0.00008361716,0.5926525,0.002129402,0.3875141],"genre_scores_gemma":[0.0268791,0.003014857,0.003301442,0.000961087,0.0003189116,0.0001409803,0.5051648,0.001656065,0.4585628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8054932,"threshold_uncertainty_score":0.6506901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228056791040252,"score_gpt":0.2284267071938625,"score_spread":0.19614613928346,"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."}}