{"id":"W4232052329","doi":"10.14322/publons.r2143438","title":"10.14322/publons.r2143438","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001368782,0.003029855,0.001649107,0.004906728,0.0006932621,0.003623978,0.003188372,0.002557014,0.3656529],"category_scores_gemma":[0.00656782,0.001490351,0.001362042,0.01086296,0.000546838,0.001810375,0.00261617,0.00126016,0.5521538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650068,"about_ca_system_score_gemma":0.002208541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02938607,"about_ca_topic_score_gemma":0.03807593,"domain_scores_codex":[0.9988003,0.0001786836,0.0001592766,0.0003876983,0.0002566084,0.0002174804],"domain_scores_gemma":[0.9972602,0.0006899266,0.0003640959,0.0007707797,0.0005937701,0.0003211299],"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":[0.00005870168,0.00001642262,0.0006062457,0.0006036506,0.00003193485,0.00001377803,0.00002079406,0.000314715,0.00007834818,0.0003551149,0.9949297,0.002970689],"study_design_scores_gemma":[0.0002564749,0.0000211201,0.002474443,0.0002281507,0.00002914886,0.00002198629,0.0000535832,0.0003319389,0.0002792685,0.0008045948,0.9954684,0.00003087242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000042849,0.00002902343,0.00004913706,0.00003418263,0.00001388872,0.000004675833,0.9984236,0.0006215798,0.0007810158],"genre_scores_gemma":[0.0002703983,0.00004998037,0.0001499455,0.0000390578,0.000007232295,0.00003900052,0.9975121,0.0002727994,0.001659501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6343471,"threshold_uncertainty_score":0.9048191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003959399024039642,"score_gpt":0.1712837517543364,"score_spread":0.1673243527302968,"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."}}