{"id":"W6977531891","doi":"10.7910/dvn/pkjufn/pmdkfb","title":"FCC2003.121.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Plant Toxicity and Pharmacological Properties","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001175659,0.0003193455,0.0002880316,0.00003430539,0.0001027345,0.00005250337,0.0007417108,0.00046719,0.00907146],"category_scores_gemma":[0.0002334006,0.0002763096,0.0001305753,0.00005655651,0.0001173877,0.0000055987,0.0006073416,0.0003974758,0.109011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001263395,"about_ca_system_score_gemma":0.0001043545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004570423,"about_ca_topic_score_gemma":0.00003733161,"domain_scores_codex":[0.998585,0.0001178337,0.000235193,0.0005651224,0.0001898172,0.0003069957],"domain_scores_gemma":[0.9990375,0.00001622519,0.0001085669,0.0005923273,0.00003654392,0.000208861],"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":[0.0002560071,0.0000666445,0.000001036817,0.00008926875,0.0001114252,0.0001045074,0.000003108107,0.000006904112,0.03057848,0.00000191864,0.9686859,0.00009486561],"study_design_scores_gemma":[0.0003714201,0.0002240758,0.000003253748,0.00001725622,0.00009646056,0.00002406349,0.000009729774,0.000008457133,0.009027899,0.000004169079,0.9898333,0.0003799236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001437205,0.0000103177,0.00002318975,0.0000194864,0.0004484539,0.0001993975,0.9987769,0.00002358051,0.0003549324],"genre_scores_gemma":[0.0001916412,0.001979296,0.00007262911,0.004364189,0.0008021673,0.00001949603,0.9920293,0.00001718082,0.0005240823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09993957,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656844362563504,"score_gpt":0.2518187624293338,"score_spread":0.2252503188036987,"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."}}