{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006537025,0.001437488,0.0005654899,0.00141759,0.001500271,0.004259804,0.001632621,0.001626366,0.6685426],"category_scores_gemma":[0.001148239,0.0005027077,0.0006704425,0.0008108288,0.000535307,0.00155538,0.002027546,0.001435918,0.4632088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460082,"about_ca_system_score_gemma":0.001392383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722298,"about_ca_topic_score_gemma":0.02639393,"domain_scores_codex":[0.9996015,0.00004443224,0.000007655279,0.00009112808,0.0001666233,0.00008864968],"domain_scores_gemma":[0.9992206,0.00008205015,0.00001658188,0.0001815686,0.0002933233,0.0002059643],"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":[0.0002635051,0.00004587337,0.000123672,0.00007620002,0.000006654766,0.00004901185,0.00003925696,0.0003387412,0.001953251,0.004258874,0.9328622,0.05998264],"study_design_scores_gemma":[0.0001109939,0.00003550767,0.0005957658,0.00005620716,0.000006509883,0.0001002334,0.00008704505,0.003532532,0.003597835,0.003795891,0.9880577,0.00002380324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002252759,0.0002379103,0.02324569,0.001122648,0.001044727,0.000364083,0.05115598,0.08156216,0.8390141],"genre_scores_gemma":[0.02116855,0.000361881,0.0284325,0.00059264,0.0003035886,0.0004038049,0.09717125,0.03537628,0.8161896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3314574,"threshold_uncertainty_score":0.4727837,"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."}}