{"id":"W7000995533","doi":"","title":"Human Nutraceutical Research Unit: Advancing Foods & Natural Health Products","year":2011,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Directorate for Biological Sciences; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Government (linguistics); Event (particle physics); General partnership; Nutraceutical; Human health; Public health; Natural (archaeology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411096,0.0002347307,0.0004202939,0.0005061274,0.000506601,0.00003057574,0.002857398,0.0001562044,0.0001700418],"category_scores_gemma":[0.0001012047,0.000213749,0.0001202797,0.001139887,0.0005880308,0.0003303225,0.001279242,0.00106092,0.0001202584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169481,"about_ca_system_score_gemma":0.0002757786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678564,"about_ca_topic_score_gemma":0.0007026038,"domain_scores_codex":[0.9975936,0.0004364424,0.0001677897,0.000582638,0.0005881352,0.0006313528],"domain_scores_gemma":[0.9976047,0.0000975209,0.0003088476,0.001553505,0.0002932521,0.0001422199],"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":[0.00005684885,0.0002126605,0.00004544035,0.0006565076,0.0001249963,0.00005281746,0.002858307,7.25112e-7,0.009680408,0.05311542,0.8988811,0.03431472],"study_design_scores_gemma":[0.000325836,0.000311422,0.001592562,0.0003596594,0.00002169961,0.00002004705,0.000327411,0.00003171975,0.0006795221,0.006963444,0.9889871,0.000379614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0006383864,0.01869298,0.692839,0.01407548,0.001042094,0.003300767,0.00005633683,0.002551205,0.2668038],"genre_scores_gemma":[0.1275425,0.001844559,0.1931397,0.0002212932,0.0004402092,0.00000106321,0.0000291533,0.0002188412,0.6765628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4996993,"threshold_uncertainty_score":0.8716429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09437025400874678,"score_gpt":0.3568436063954481,"score_spread":0.2624733523867013,"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."}}