{"id":"W7005188920","doi":"","title":"Project 10 Image - VA Halifax - Unknown","year":2019,"lang":"en","type":"other","venue":"VTechWorks (Virginia Tech)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Image processing; Feature (linguistics); Image manipulation; Noise (video); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002517018,0.0007540022,0.001327411,0.0002718725,0.00009735208,0.00003854285,0.000519553,0.00176206,0.02924161],"category_scores_gemma":[0.0001729593,0.0004777981,0.0003763018,0.0004725632,0.0003459961,0.00003013593,0.0004284478,0.001433712,0.008840451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009205582,"about_ca_system_score_gemma":0.0000865184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002398356,"about_ca_topic_score_gemma":0.00002618596,"domain_scores_codex":[0.997273,0.00008723931,0.0004422531,0.0009660016,0.000432749,0.0007987986],"domain_scores_gemma":[0.9985749,0.00016293,0.0003089299,0.0006737114,0.00006499023,0.0002145515],"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":[0.0002505449,0.0003056916,0.0001196343,0.000295165,0.0003397449,0.000249905,0.000007067197,7.832745e-8,0.0009915011,0.0001944445,0.9839209,0.01332535],"study_design_scores_gemma":[0.00143887,0.0006616391,0.0002570434,0.000642466,0.0002772154,0.00005313431,0.00001300293,0.00001245295,0.0001918328,0.00008918257,0.9957361,0.0006271051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001428854,0.004577702,0.0001063061,0.001500295,0.0008515107,0.002242226,0.0005225086,0.001758238,0.9882984],"genre_scores_gemma":[0.001057079,0.003185961,0.002904464,0.001665498,0.001362011,0.0001541477,0.0004593876,0.0004123955,0.988799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02040116,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857925899589167,"score_gpt":0.3150673555698008,"score_spread":0.2864880965739091,"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."}}