{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001236179,0.003801172,0.00242567,0.004792289,0.001067692,0.004402727,0.004385308,0.003311417,0.1671785],"category_scores_gemma":[0.006815513,0.001127493,0.001582982,0.008075257,0.0006345063,0.002009754,0.002641335,0.002028055,0.2084223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645623,"about_ca_system_score_gemma":0.002248351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198025,"about_ca_topic_score_gemma":0.02755864,"domain_scores_codex":[0.9989966,0.0001893832,0.0001040876,0.0003429733,0.0002120312,0.0001549992],"domain_scores_gemma":[0.9982536,0.0006291974,0.0001517959,0.0004463459,0.0002774529,0.000241448],"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":[0.0001029625,0.00002360859,0.0003703898,0.001200954,0.00005134169,0.0000265421,0.00002562578,0.0004264862,0.0001535921,0.000719041,0.994965,0.001934326],"study_design_scores_gemma":[0.0005595364,0.00002857384,0.001318919,0.0003761954,0.0000502825,0.00004825642,0.00005153023,0.0007823941,0.0004669403,0.002252454,0.9940256,0.00003934955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007281376,0.00009131541,0.00005793218,0.00004720006,0.00001417946,0.000006244229,0.9979627,0.0009635876,0.0007840979],"genre_scores_gemma":[0.0003830527,0.00009615572,0.0002373087,0.00005987836,0.000005833554,0.00004505778,0.9984198,0.0002604974,0.0004924081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328215,"threshold_uncertainty_score":0.5592679,"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."}}