{"id":"W4238170713","doi":"10.1515/iupac.73.0538","title":"Poppyseed","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004959899,0.001536406,0.001026311,0.002327315,0.0004916813,0.001186535,0.00153038,0.001255626,0.02992929],"category_scores_gemma":[0.003033279,0.00038306,0.001245578,0.00399825,0.0002543821,0.0006353375,0.001175706,0.0009857359,0.03158671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629383,"about_ca_system_score_gemma":0.001533892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768243,"about_ca_topic_score_gemma":0.03241163,"domain_scores_codex":[0.999517,0.00006464181,0.00006135277,0.0001905172,0.0001000729,0.00006637675],"domain_scores_gemma":[0.9992518,0.0001975368,0.0001466575,0.0001487403,0.0001720966,0.0000831478],"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":[0.001090542,0.0001005133,0.008589948,0.005337139,0.0003072309,0.0002379411,0.0000826259,0.0007418902,0.001541661,0.001110923,0.9628897,0.01796996],"study_design_scores_gemma":[0.0005956247,0.00006403251,0.02101434,0.0008903457,0.0002079495,0.0002582812,0.00009855792,0.0003424329,0.001071617,0.001033959,0.9743851,0.0000378433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000637465,0.0002046901,0.00006012469,0.00004838099,0.00001586764,0.00001750987,0.9982703,0.0001103137,0.0006353224],"genre_scores_gemma":[0.000833772,0.0002003551,0.0002117985,0.00005873299,0.00000562696,0.0000707064,0.9978052,0.0000250451,0.0007887786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02992929,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066254034254415,"score_gpt":0.4671918715150807,"score_spread":0.4465293311725366,"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."}}