{"id":"W7100963875","doi":"","title":"Positronabu","year":2007,"lang":"en","type":"article","venue":"","topic":"Agricultural and Financial Auditing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payload (computing); Sign (mathematics); Measure (data warehouse); Electron; Energy spectrum; Magnitude (astronomy)","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":[0.0003550173,0.0004682272,0.0002593807,0.000947796,0.003283907,0.0008418947,0.0006213599,0.0003755988,0.1027987],"category_scores_gemma":[0.0007700656,0.0002994362,0.000129832,0.0005409126,0.0005134303,0.000329807,0.001281772,0.001080255,0.01364318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889804,"about_ca_system_score_gemma":0.002607771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2936553,"about_ca_topic_score_gemma":0.6899508,"domain_scores_codex":[0.9998143,0.00001905178,0.000004420589,0.00003148054,0.00005590011,0.00007490812],"domain_scores_gemma":[0.999485,0.00002456077,0.00003859565,0.00003810034,0.0002404218,0.0001732273],"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":[0.002100288,0.000634824,0.2179291,0.0002717565,0.00008247753,0.007325476,0.004379263,0.0006209847,0.0145852,0.009269224,0.5524589,0.1903426],"study_design_scores_gemma":[0.00006734598,0.0003133679,0.1237478,0.0001156256,0.00002135739,0.0005649478,0.003078683,0.0005363754,0.003504971,0.0007260434,0.8672884,0.00003501415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4095323,0.003938425,0.002731066,0.01868413,0.003178224,0.0008481687,0.03105938,0.00145731,0.5285709],"genre_scores_gemma":[0.1872874,0.001075771,0.001418663,0.00240717,0.0001452997,0.000120234,0.009290864,0.0001268863,0.7981278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8972012,"threshold_uncertainty_score":0.5838921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006955491298690101,"score_gpt":0.1704569292642752,"score_spread":0.1635014379655851,"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."}}