{"id":"W6931085783","doi":"10.5281/zenodo.4366904","title":"Toxicodendron pubescens Mill.","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clementine (nuclear reactor); Sinkhole; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001609944,0.0001319273,0.000133649,0.0003350869,0.001337963,0.001248614,0.002900831,0.00005444825,0.002893444],"category_scores_gemma":[0.0004586381,0.0001362044,0.00006098162,0.001132242,0.00009487819,0.000722243,0.002182012,0.0002230198,0.01498979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418959,"about_ca_system_score_gemma":0.000002761719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190226,"about_ca_topic_score_gemma":9.530149e-7,"domain_scores_codex":[0.9980033,0.0001774708,0.0002755352,0.0005352365,0.000496312,0.0005121167],"domain_scores_gemma":[0.998185,0.00003007907,0.0000949636,0.001035905,0.0003975695,0.0002564956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003235878,0.0002762748,0.0000198506,0.00003439252,0.00007975336,0.0001156068,0.00140452,0.00007160414,0.01035903,0.06139227,0.388912,0.5373023],"study_design_scores_gemma":[0.000279655,0.0001091173,0.001257773,0.000009955273,0.000007967544,0.0001306755,0.00006975635,0.002949862,0.002048375,0.0003636533,0.9925821,0.0001911487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006218861,0.00007461452,0.824036,0.001046132,0.0001895826,0.000252307,0.0000563396,0.001687228,0.1664389],"genre_scores_gemma":[0.9871237,0.00003793225,0.008777021,0.0005713344,0.00021008,1.219676e-8,0.0007078185,0.0009324607,0.001639657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809048,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944757990477796,"score_gpt":0.2504602047545597,"score_spread":0.2210126248497818,"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."}}